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1

Statistical Inference: Hypothesis Test  

E-Print Network (OSTI)

1 Statistical Inference: Hypothesis Test GOG 502/PLN 504 Youqin Huang 1 Review: The Z t ( )± Today's topic: Hypothesis Tests What is hypothesis test? Elements, steps, types of hypothesis test Significance test for a mean Small vs. large sample Significance test for proportion GOG 502/PLN 504 Youqin

Huang, Youqin

2

18.441 Statistical Inference, Spring 2002  

E-Print Network (OSTI)

Reviews probability and introduces statistical inference. Point and interval estimation. The maximum likelihood method. Hypothesis testing. Likelihood-ratio tests and Bayesian methods. Nonparametric methods. Analysis of ...

Hardy, Michael

3

Statistical Inference in Inverse Problems  

E-Print Network (OSTI)

Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low emission sources on a large random background, and parameter estimation methods for partial differential equation (PDE) models. Source detection problem arises, for instance, in some homeland security applications. We address the problem of detecting presence and location of a small low emission source inside an object, when the background noise dominates. The goal is to reach the signal-to-noise ratio levels on the order of 10^-3. We develop a Bayesian approach to this problem in two-dimension. The method allows inference not only about the existence of the source, but also about its location. We derive Bayes factors for model selection and estimation of location based on Markov chain Monte Carlo simulation. A simulation study shows that with sufficiently high total emission level, our method can effectively locate the source. Differential equation (DE) models are widely used to model dynamic processes in many fields. The forward problem of solving equations for given parameters that define the DEs has been extensively studied in the past. However, the inverse problem of estimating parameters based on observed state variables is relatively sparse in the statistical literature, and this is especially the case for PDE models. We propose two joint modeling schemes to solve for constant parameters in PDEs: a parameter cascading method and a Bayesian treatment. In both methods, the unknown functions are expressed via basis function expansion. For the parameter cascading method, we develop the algorithm to estimate the parameters and derive a sandwich estimator of the covariance matrix. For the Bayesian method, we develop the joint model for data and the PDE, and describe how the Markov chain Monte Carlo technique is employed to make posterior inference. A straightforward two-stage method is to first fit the data and then to estimate parameters by the least square principle. The three approaches are illustrated using simulated examples and compared via simulation studies. Simulation results show that the proposed methods outperform the two-stage method.

Xun, Xiaolei

2012-05-01T23:59:59.000Z

4

A Bayesian Approach to Statistical Inference about Climate Change  

Science Conference Proceedings (OSTI)

A Bayesian approach to statistical inference about climate change based on the two-phase regression model is presented. This approach is useful when nonobservational information is available about possible climate change. This information may ...

Andrew R. Solow

1988-05-01T23:59:59.000Z

5

Analysis of well test data---Application of probabilistic models to infer hydraulic properties of fractures. [Contains list of standardized terminology or nomenclatue used in statistical models  

Science Conference Proceedings (OSTI)

Statistical and probabilistic methods for estimating the probability that a fracture is nonconductive (or equivalently, the conductive-fracture frequency) and the distribution of the transmissivities of conductive fractures from transmissivity measurements made in single-hole injection (well) tests were developed. These methods were applied to a database consisting of over 1,000 measurements made in nearly 25 km of borehole at five sites in Sweden. The depths of the measurements ranged from near the surface to over 600-m deep, and packer spacings of 20- and 25-m were used. A probabilistic model that describes the distribution of a series of transmissivity measurements was derived. When the parameters of this model were estimated using maximum likelihood estimators, the resulting estimated distributions generally fit the cumulative histograms of the transmissivity measurements very well. Further, estimates of the mean transmissivity of conductive fractures based on the maximum likelihood estimates of the model's parameters were reasonable, both in magnitude and in trend, with respect to depth. The estimates of the conductive fracture probability were generated in the range of 0.5--5.0 percent, with the higher values at shallow depths and with increasingly smaller values as depth increased. An estimation procedure based on the probabilistic model and the maximum likelihood estimators of its parameters was recommended. Some guidelines regarding the design of injection test programs were drawn from the recommended estimation procedure and the parameter estimates based on the Swedish data. 24 refs., 12 figs., 14 tabs.

Osnes, J.D. (RE/SPEC, Inc., Rapid City, SD (United States)); Winberg, A.; Andersson, J.E.; Larsson, N.A. (Sveriges Geologiska AB, Goeteborg (Sweden))

1991-09-27T23:59:59.000Z

6

Statistical inference problems for (nonlinear) Stochastic PDEs | Argonne  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistical inference problems for (nonlinear) Stochastic PDEs Statistical inference problems for (nonlinear) Stochastic PDEs Event Sponsor: Mathematics and Computing Science - LANS Seminar Start Date: Dec 11 2013 - 3:00pm Building/Room: Building 240/Room 1406-1407 Location: Argonne National Laboratory Speaker(s): Igor Cialenco Speaker(s) Title: Illinois Institute of Technology Host: Jie Chen Event Website: http://www.mcs.anl.gov/research/LANS/events/listn/detail.php?id=2241 We consider a parameter estimation problem to determine the drift coefficient for a large class of parabolic Stochastic PDEs driven by additive or multiplicative noise. In the first part of the talk, we derive several different classes of estimators based on the first N Fourier modes of a sample path observed continuously on a finite time interval. Second

7

Statistical Inference for Big Data Problems in Molecular Biophysics  

SciTech Connect

We highlight the role of statistical inference techniques in providing biological insights from analyzing long time-scale molecular simulation data. Technologi- cal and algorithmic improvements in computation have brought molecular simu- lations to the forefront of techniques applied to investigating the basis of living systems. While these longer simulations, increasingly complex reaching petabyte scales presently, promise a detailed view into microscopic behavior, teasing out the important information has now become a true challenge on its own. Mining this data for important patterns is critical to automating therapeutic intervention discovery, improving protein design, and fundamentally understanding the mech- anistic basis of cellular homeostasis.

Ramanathan, Arvind [ORNL; Savol, Andrej [University of Pittsburgh School of Medicine, Pittsburgh PA; Burger, Virginia [University of Pittsburgh School of Medicine, Pittsburgh PA; Quinn, Shannon [University of Pittsburgh School of Medicine, Pittsburgh PA; Agarwal, Pratul K [ORNL; Chennubhotla, Chakra [University of Pittsburgh School of Medicine, Pittsburgh PA

2012-01-01T23:59:59.000Z

8

Bayesian Inference in Asset Pricing Tests  

E-Print Network (OSTI)

We test the mean-variance efficiency of a given portfolio using a Bayesian framework. Our test is more direct than Shanken's (1987b), because we impose a prior on all the parameters of the multivariate regression model. The approach is also easily adapted to other problems. We use Monte Carlo numerical integration to accurately evaluate 9O-dimensional integrals. Posteriorodds ratios are calculated for 12 industry portfolios from 1926-1987. The sensitivity of the inferences to the prior is investigated by using three different distributions. The probability that the given portfolio is mean-variance efficient is small for a range of plausible priors.

Campbell R. Harvey; Guofu Zhou

1990-01-01T23:59:59.000Z

9

Optimum Statistical Test Procedure  

E-Print Network (OSTI)

In this paper we obtain a test which minimizes the sum of the two error probabilities irrespective of whether $\\sigma^2$ is known or unknown.

Rajesh Singh; Jayant Singh; Florentin Smarandache

2009-04-10T23:59:59.000Z

10

Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Statistics 1 32. STATISTICS Revised April 1998 by F. James (CERN); February 2000 by R. Cousins (UCLA); October 2001, October 2003, and August 2005 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics we are interested in using a given sample of data to make inferences about a probabilistic model, e.g., to assess the model's validity or to determine the values of its parameters. There are two main approaches to statistical inference, which we may call frequentist and Bayesian. In frequentist statistics, probability is interpreted as the frequency of the outcome of a repeatable experiment. The most important tools in this framework are parameter estimation, covered in Section 32.1, and statistical tests, discussed in Section 32.2. Frequentist confidence intervals, which are constructed so as to cover the true value of

11

Journal of Statistical Planning and Inference 105 (2002) 233264  

E-Print Network (OSTI)

that there will be a signiÿcant increase in the price of oil in the near future". A key idea on which perception-based theory and Inference 105 (2002) 233­264 and fraud detection to stock market forecasting, and management of uncertainty

Healy, Kevin Edward

12

Information Geometry, Inference Methods and Chaotic Energy Levels Statistics  

E-Print Network (OSTI)

In this Letter, we propose a novel information-geometric characterization of chaotic (integrable) energy level statistics of a quantum antiferromagnetic Ising spin chain in a tilted (transverse) external magnetic field. Finally, we conjecture our results might find some potential physical applications in quantum energy level statistics.

Carlo Cafaro

2008-10-25T23:59:59.000Z

13

Testing the Role of Source Credibility on Memory for Inferences  

E-Print Network (OSTI)

Research shows that people have difficulty forgetting inferences they make after reading a passage, even when the information that the inferences are based on is later known to be untrue. This dissertation examined the effects of these inferences on memory for political information and tested if the credibility of the source of the correction influences whether people use the correction, or continue relying on the original information when making inferences. According to source credibility theory, there are two main factors that contribute to credibility, expertise and trustworthiness. Experiment 1 examined credibility as a function of both expertise and trustworthiness. The results from this experiment showed that having a correction from a source who is high on both factors significantly decreased the use of the original information. Experiment 2 examined credibility as a function of expertise. The Experiment 2 results showed no significant decrease in participants' use of the original information, if a correction came from a source that was simply more expert (but not more trustworthy) than another source. This finding suggests that source expertise alone is not sufficient to reduce reliance on the original information. Experiment 3, which examined credibility as a function of trustworthiness, demonstrated that having a highly trustworthy source does significantly decrease the use of the original information when making inferences. This study is the first to provide direct support for the hypothesis that making the source of a correction more believable decreases use of the original discredited information when making inferences.

Guillory, Jimmeka Joy

2011-08-01T23:59:59.000Z

14

HEV Fleet Testing Operating Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

calculated for this figure using mass air flow over dynamic vehicle operation. 2006 Toyota Highlander Hybrid Final Fleet Testing Results Operating Performance Cumulative MPG 1 :...

15

HEV Fleet Testing Operating Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

calculated for this figure using mass air flow over dynamic vehicle operation. 2007 Toyota Camry Hybrid Final Fleet Testing Results Operating Performance Cumulative MPG 1 : 33.6...

16

Quantum Statistical Testing of a QRNG Algorithm  

Science Conference Proceedings (OSTI)

We present the algorithmic design of a quantum random number generator, the subsequent synthesis of a physical design and its verification using quantum statistical testing. We also describe how quantum statistical testing can be used to diagnose channel noise in QKD protocols.

Humble, Travis S [ORNL; Pooser, Raphael C [ORNL; Britt, Keith A [ORNL

2013-01-01T23:59:59.000Z

17

Statistical Test of the Distribution of Sea Surface Deflection  

Science Conference Proceedings (OSTI)

Most of the common statistical tests are based upon statistically independent data. Many observations of physical phenomena are statistically dependent, as is indicated by the sample-autocorrelation function. In this paper, a test is presented ...

A. P. J. Abrahamse; J. van Heteren; A. P. Roskam; J. Bouman

1990-02-01T23:59:59.000Z

18

Statistical Considerations for Climate Experiments. Part I: Scalar Tests  

Science Conference Proceedings (OSTI)

Statistical tests used in model intercomparisons or model/climate comparisons may be either scalar or multivariate tests. The former are employed when testing a hypothesis about a single variable observed at a single location, or through a ...

F. W. Zwiers; H. J. Thibaux

1987-04-01T23:59:59.000Z

19

Optimization Online - A Statistical Test for Comparing Success Rates  

E-Print Network (OSTI)

Nov 28, 2003 ... A Statistical Test for Comparing Success Rates. Eric Taillard (eric.taillard ***at*** eivd.ch). Abstract: This article presents a non-parametric...

20

Comparing statistical tests for detecting soil contamination greater than background  

SciTech Connect

The Washington State Department of Ecology (WSDE) recently issued a report that provides guidance on statistical issues regarding investigation and cleanup of soil and groundwater contamination under the Model Toxics Control Act Cleanup Regulation. Included in the report are procedures for determining a background-based cleanup standard and for conducting a 3-step statistical test procedure to decide if a site is contaminated greater than the background standard. The guidance specifies that the State test should only be used if the background and site data are lognormally distributed. The guidance in WSDE allows for using alternative tests on a site-specific basis if prior approval is obtained from WSDE. This report presents the results of a Monte Carlo computer simulation study conducted to evaluate the performance of the State test and several alternative tests for various contamination scenarios (background and site data distributions). The primary test performance criteria are (1) the probability the test will indicate that a contaminated site is indeed contaminated, and (2) the probability that the test will indicate an uncontaminated site is contaminated. The simulation study was conducted assuming the background concentrations were from lognormal or Weibull distributions. The site data were drawn from distributions selected to represent various contamination scenarios. The statistical tests studied are the State test, t test, Satterthwaite`s t test, five distribution-free tests, and several tandem tests (wherein two or more tests are conducted using the same data set).

Hardin, J.W.; Gilbert, R.O.

1993-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Testing Statistical Cloud Scheme Ideas in the GFDL Climate Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Testing Statistical Cloud Scheme Ideas in the GFDL Climate Model Testing Statistical Cloud Scheme Ideas in the GFDL Climate Model Klein, Stephen Lawrence Livermore National Laboratory Pincus, Robert NOAA-CIRES Climate Diagnostics Center Category: Modeling Statistical cloud schemes (or assumed probability distribution function cloud schemes) are attractive because they provide a way to implement horizontal sub-grid scale cloud heterogeneity in a self-consistent way between physical parameterizations of the a climate model, such as radiation and cloud microphysics. In this work, we will present results dealing with two aspects of our ongoing work towards the implementation of statistical cloud scheme ideas in the climate model of Geophysical Fluid Dynamics Laboratory. First, we will address the representation of cloud

22

Asymptotic Formula for a General Double-Bounded Custom-Sided Likelihood Based Test Statistic  

E-Print Network (OSTI)

This paper presents the asymptotic distributions of a general likelihood-based test statistic, derived using results of Wilks and Wald. The general form of the test statistic incorporates the test statistics and associated asymptotic formulae previously derived by Cowan, Cranmer, Gross and Vitells, which are seen to be special cases of the likelihood-based test statistic described here.

Buttinger, Will

2013-01-01T23:59:59.000Z

23

A Statistical Framework for Microbial Source Attribution: Measuring Uncertainty in Host Transmission Events Inferred from Genetic Data (Part 2 of a 2 Part Report)  

SciTech Connect

This report explores the question of whether meaningful conclusions can be drawn regarding the transmission relationship between two microbial samples on the basis of differences observed between the two sample's respective genomes. Unlike similar forensic applications using human DNA, the rapid rate of microbial genome evolution combined with the dynamics of infectious disease require a shift in thinking on what it means for two samples to 'match' in support of a forensic hypothesis. Previous outbreaks for SARS-CoV, FMDV and HIV were examined to investigate the question of how microbial sequence data can be used to draw inferences that link two infected individuals by direct transmission. The results are counter intuitive with respect to human DNA forensic applications in that some genetic change rather than exact matching improve confidence in inferring direct transmission links, however, too much genetic change poses challenges, which can weaken confidence in inferred links. High rates of infection coupled with relatively weak selective pressure observed in the SARS-CoV and FMDV data lead to fairly low confidence for direct transmission links. Confidence values for forensic hypotheses increased when testing for the possibility that samples are separated by at most a few intermediate hosts. Moreover, the observed outbreak conditions support the potential to provide high confidence values for hypothesis that exclude direct transmission links. Transmission inferences are based on the total number of observed or inferred genetic changes separating two sequences rather than uniquely weighing the importance of any one genetic mismatch. Thus, inferences are surprisingly robust in the presence of sequencing errors provided the error rates are randomly distributed across all samples in the reference outbreak database and the novel sequence samples in question. When the number of observed nucleotide mutations are limited due to characteristics of the outbreak or the availability of only partial rather than whole genome sequencing, indel information was shown to have the potential to improve performance but only for select outbreak conditions. In examined HIV transmission cases, extended evolution proved to be the limiting factor in assigning high confidence to transmission links, however, the potential to correct for extended evolution not associated with transmission events is demonstrated. Outbreak specific conditions such as selective pressure (in the form of varying mutation rate), are shown to impact the strength of inference made and a Monte Carlo simulation tool is introduced, which is used to provide upper and lower bounds on the confidence values associated with a forensic hypothesis.

Allen, J; Velsko, S

2009-11-16T23:59:59.000Z

24

Development and testing of improved statistical wind power forecasting methods.  

DOE Green Energy (OSTI)

Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J. (Decision and Information Sciences); (INESC Porto)

2011-12-06T23:59:59.000Z

25

Statistical Significance Test for Transition Matrices of Atmospheric Markov Chains  

Science Conference Proceedings (OSTI)

Low-frequency variability of large-scale atmospheric dynamics can be represented schematically by a Markov chain of multiple flow regimes. This Markov chain contains useful information for the long-range forecaster, provided that the statistical ...

Robert Vautard; Kingtse C. Mo; Michael Ghil

1990-08-01T23:59:59.000Z

26

Accurately Sized Test Statistics with Misspecified Conditional Homoskedasticity  

E-Print Network (OSTI)

Functions for Some Robust Tests of Regression Coe?cients,cho R to both the hac and pw tests, although there is someAutocorrelation Robust Tests, Econometric Theory 21, 1130-

Steigerwald, Douglas G; Erb, Jack

2007-01-01T23:59:59.000Z

27

Bayesian inference in ecology Aaron M. Ellison  

E-Print Network (OSTI)

, Petersham, MA, USA E-mail: aellison@fas.harvard.edu Abstract Bayesian inference is an important statistical

Steury, Todd D.

28

Detection of Undocumented Changepoints Using Multiple Test Statistics and Composite Reference Series  

Science Conference Proceedings (OSTI)

An evaluation of three hypothesis test statistics that are commonly used in the detection of undocumented changepoints is described. The goal of the evaluation was to determine whether the use of multiple tests could improve undocumented, ...

Matthew J. Menne; Claude N. Williams Jr.

2005-10-01T23:59:59.000Z

29

Inferring hierarchical descriptions  

Science Conference Proceedings (OSTI)

We create a statistical model for inferring hierarchical term relationships about a topic, given only a small set of example web pages on the topic, without prior knowledge of any hierarchical information. The model can utilize either the full text of ... Keywords: cluster naming, feature selection, hierarchical relationships, statistical models, web analysis

Eric Glover; David M. Pennock; Steve Lawrence; Robert Krovetz

2002-11-01T23:59:59.000Z

30

On a family of test statistics for discretely observed diffusion processes  

E-Print Network (OSTI)

We consider parametric hypotheses testing for multidimensional ergodic diffusion processes observed at discrete time. We propose a family of test statistics, related to the so called $\\phi$-divergence measures. By taking into account the quasi-likelihood approach developed for studying the stochastic differential equations, it is proved that the tests in this family are all asymptotically distribution free. In other words, our test statistics weakly converge to the chi squared distribution. Furthermore, our test statistic is compared with the quasi likelihood ratio test. In the case of contiguous alternatives, it is also possible to study in detail the power function of the tests. Although all the tests in this family are asymptotically equivalent, we show by Monte Carlo analysis that, in the small sample case, the performance of the test strictly depends on the choice of the function $\\phi$. Furthermore, in this framework, the simulations show that there are not uniformly most powerful tests.

De Gregorio, Alessandro

2011-01-01T23:59:59.000Z

31

Geometric Concerns Pertaining to Applications of Statistical Tests in the Atmospheric Sciences  

Science Conference Proceedings (OSTI)

This paper is concerned. with the application of well-known statistical methods (e.g. matched-pairs t-test, two-sample t-test, one-way analysis of variance and significance test of Pearson's correlation coefficient) in the atmospheric sciences. ...

Paul W. Mielke Jr.

1985-06-01T23:59:59.000Z

32

Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing Selection  

Science Conference Proceedings (OSTI)

Detection of natural selection at the molecular level is one of the crucial problems in contemporary population genetics. There exists a number of statistical tests designed for it, however, the interpretation of the outcomes is often obscure, because ... Keywords: ATM, BLM, RECQL, WRN, natural selection, neutrality tests, rough sets

Krzysztof Cyran

2007-06-01T23:59:59.000Z

33

Using a Simple Binomial Model to Assess Improvement in Predictive Capability: Sequential Bayesian Inference, Hypothesis Testing, and Power Analysis  

SciTech Connect

We present a Bayesian statistical methodology for identifying improvement in predictive simulations, including an analysis of the number of (presumably expensive) simulations that will need to be made in order to establish with a given level of confidence that an improvement has been observed. Our analysis assumes the ability to predict (or postdict) the same experiments with legacy and new simulation codes and uses a simple binomial model for the probability, {theta}, that, in an experiment chosen at random, the new code will provide a better prediction than the old. This model makes it possible to do statistical analysis with an absolute minimum of assumptions about the statistics of the quantities involved, at the price of discarding some potentially important information in the data. In particular, the analysis depends only on whether or not the new code predicts better than the old in any given experiment, and not on the magnitude of the improvement. We show how the posterior distribution for {theta} may be used, in a kind of Bayesian hypothesis testing, both to decide if an improvement has been observed and to quantify our confidence in that decision. We quantify the predictive probability that should be assigned, prior to taking any data, to the possibility of achieving a given level of confidence, as a function of sample size. We show how this predictive probability depends on the true value of {theta} and, in particular, how there will always be a region around {theta} = 1/2 where it is highly improbable that we will be able to identify an improvement in predictive capability, although the width of this region will shrink to zero as the sample size goes to infinity. We show how the posterior standard deviation may be used, as a kind of 'plan B metric' in the case that the analysis shows that {theta} is close to 1/2 and argue that such a plan B should generally be part of hypothesis testing. All the analysis presented in the paper is done with a general beta-function prior for {theta}, enabling sequential analysis in which a small number of new simulations may be done and the resulting posterior for {theta} used as a prior to inform the next stage of power analysis.

Sigeti, David E. [Los Alamos National Laboratory; Pelak, Robert A. [Los Alamos National Laboratory

2012-09-11T23:59:59.000Z

34

Estimating uncertainty of inference for validation  

SciTech Connect

We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.

Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM

2010-09-30T23:59:59.000Z

35

Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms  

Science Conference Proceedings (OSTI)

A new method is proposed to compare statistical differences between summary histograms, which are the histograms summed over a large ensemble of individual histograms. It consists of choosing a distance statistic for measuring the difference ...

Kuan-Man Xu

2006-05-01T23:59:59.000Z

36

A STATISTICAL METHOD FOR MEASURING THE GALACTIC POTENTIAL AND TESTING GRAVITY WITH COLD TIDAL STREAMS  

SciTech Connect

We introduce the Minimum Entropy Method, a simple statistical technique for constraining the Milky Way gravitational potential and simultaneously testing different gravity theories directly from 6D phase-space surveys and without adopting dynamical models. We demonstrate that orbital energy distributions that are separable (i.e., independent of position) have an associated entropy that increases under wrong assumptions about the gravitational potential and/or gravity theory. Of known objects, 'cold' tidal streams from low-mass progenitors follow orbital distributions that most nearly satisfy the condition of separability. Although the orbits of tidally stripped stars are perturbed by the progenitor's self-gravity, systematic variations of the energy distribution can be quantified in terms of the cross-entropy of individual tails, giving further sensitivity to theoretical biases in the host potential. The feasibility of using the Minimum Entropy Method to test a wide range of gravity theories is illustrated by evolving restricted N-body models in a Newtonian potential and examining the changes in entropy introduced by Dirac, MONDian, and f(R) gravity modifications.

Penarrubia, Jorge [Instituto de Astrofisica de Andalucia-CSIC, Glorieta de la Astronomia s/n, E-18008 Granada (Spain); Koposov, Sergey E. [Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA (United Kingdom); Walker, Matthew G., E-mail: jorpega@iaa.es [Harvard-Smithsonian Center for Astrophysics, 60 Garden St., Cambridge, MA 02138 (United States)

2012-11-20T23:59:59.000Z

37

Perceptual inference in generative models  

E-Print Network (OSTI)

1.3.1 Bayesian inference . . . . . . . . . . . . . . . 1.3.2Toy example: Bayesian inference in a pinholehidden signals Bayesian inference Bayesian inference

Hershey, John R.

2005-01-01T23:59:59.000Z

38

Nonparametric inference in small data sets of spatially indexed curves with application to ionospheric trend determination  

Science Conference Proceedings (OSTI)

This paper is concerned with estimation and testing in data sets consisting of a small number (about 20-30) of curves observed at unevenly distributed spatial locations. Such data structures may be referred to as spatially indexed functional data. Motivated ... Keywords: Functional data, Ionosphere, Long-term trend, Nonparametric inference, Spatial statistics

Oleksandr Gromenko; Piotr Kokoszka

2013-03-01T23:59:59.000Z

39

A review and statistical analysis of micellar-polymer field test data: Topical report  

SciTech Connect

A statistical analysis study has been made of 21 micellar-polymer field test projects to evaluate the significance of key parameters upon performance. In this study, the term micellar-polymer is used to describe surfactant recovery processes of which the most common are the water phase low tension and the soluble oil.The micellar slug is usually followed by a drive slug containing a polymer for mobility control. The data include 10 projects that were used in a previous study and 11 other documented projects which have been completed recently. The study indicates three significant correlations. The most important of these is the correlation showing that oil recovery is inversely related to the log of the reservoir connate water salinity. This suggests that prior flooding with a water near the design salinity or use of preflushes to adjust salinity and remove hardness have, at best, been only partially effective. Exxon was successful in their second Loudon pilot when using a specifically designed salt tolerant surfactant, with no preflush. The results of this study, coupled with the results of the Exxon second Loudon pilot, suggest that future research in micellar-polymer flooding should focus on the development of surfactants which can tolerate the connate water salinity and hardness in the reservoir. A second correlation showed that oil recovery increased as the pattern size was decreased. This is attributed to the higher frontal velocities and to the reduced tendency of slug breakdown in smaller patterns. Low oil cuts at the beginning of the micellar-polymer floods indicated that higher recovery efficiency could not be attributed to infill drilling. The third correlation showed the expected results that oil recovery is related to the quantity of surfactant used. This quantity is the product of the surfactant slug volume and the concentration of surfactant. 71 refs., 4 figs., 2 tabs.

Lowry, P.H.; Ferrell, H.H.; Dauben, D.L.

1986-11-01T23:59:59.000Z

40

SQLSAM: SQL for statistical analysis and modeling  

Science Conference Proceedings (OSTI)

Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental ... Keywords: SQL, SQLSAM, business, business data processing, business decision making, continuous probability distributions, data visualisation, decision support systems, discrete probability distributions, graphic visualization, inferences, inferential statistics, organization databases, probability, query languages, regression analysis, standard database language, statistical analysis, statistical databases, statistical modeling, statistics

J. Choobineh; A. Kini

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Bayesian Inference for Wind Field Retrieval  

E-Print Network (OSTI)

In many problems in spatial statistics it is necessary to infer a global problem solution by combining local models. A principled approach to this problem is to develop a global probabilistic model for the relationships between local variables and to use this as the prior in a Bayesian inference procedure. We show how a Gaussian process with hyper-parameters estimated from Numerical Weather Prediction Models yields meteorologically convincing wind fields. We use neural networks to make local estimates of wind vector probabilities. The resulting inference problem cannot be solved analytically, but Markov Chain Monte Carlo methods allow us to retrieve accurate wind fields. Keywords: Bayesian inference; surface winds; spatial priors; Gaussian Processes 2 Bayesian Inference for Wind Field Retrieval 1 Introduction Satellite borne scatterometers are designed to retrieve surface winds over the oceans. These observations enhance the initial conditions supplied to Numerical Weather Predictio...

Dan Cornford And; Dan Cornford; Ian T. Nabney; Christopher K. I. Williams

2000-01-01T23:59:59.000Z

42

A Primer on Probabilistic Inference  

E-Print Network (OSTI)

Goldwater, S. (2007). Bayesian inference for PCFGs viathe fundamentals of Bayesian inference, which ProbabilityFundamentals of Bayesian inference Probabilistic models of

Griffiths, Thomas L.; Yuille, Alan

2006-01-01T23:59:59.000Z

43

Object Perception as Bayesian Inference  

E-Print Network (OSTI)

Object Perception as Bayesian Inference A. B. C. D. FigureObject Perception as Bayesian Inference Barlow HB. 1962. AObject Perception as Bayesian Inference compared. Vision

Kersten, Daniel; Mammasian, Pascal; Yuille, Alan

2004-01-01T23:59:59.000Z

44

A Primer on Probabilistic Inference  

E-Print Network (OSTI)

Goldwater, S. (2007). Bayesian inference for PCFGs viathe fundamentals of Bayesian inference, which ProbabilityFundamentals of Bayesian inference Probabilistic models of

Thomas L. Griffiths; Alan Yuille

2011-01-01T23:59:59.000Z

45

Object Perception as Bayesian Inference  

E-Print Network (OSTI)

Object Perception as Bayesian Inference A. B. C. D. FigureObject Perception as Bayesian Inference Barlow HB. 1962. AObject Perception as Bayesian Inference compared. Vision

Daniel Kersten; Pascal Mamassian; Alan Yuille

2011-01-01T23:59:59.000Z

46

Stochastic variational inference  

Science Conference Proceedings (OSTI)

We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of probabilistic models and we demonstrate it with two probabilistic topic models, latent Dirichlet ... Keywords: Bayesian inference, Bayesian nonparametrics, stochastic optimization, topic models, variational inference

Matthew D. Hoffman, David M. Blei, Chong Wang, John Paisley

2013-01-01T23:59:59.000Z

47

Statistical Tests for Comparison of Daily Variability in Observed and Simulated Climates  

Science Conference Proceedings (OSTI)

Tests for differences in daily variability based on the jackknife are presented. These tests properly account for the effect of autocorrelation in the data and are reasonably robust against departures from normality. Three measures for the daily ...

T. Adri Buishand; Jules J. Beersma

1996-10-01T23:59:59.000Z

48

Statistical Tests for the Comparison of Surface Gravity Wave Spectra with Application to Model Validation  

Science Conference Proceedings (OSTI)

A new second generation deep-water ocean wave model VAG is presented and several modifications are tested on a one month hindcast. On the same period and with the same windfields a version of the third generation model WAM is also tested. All the ...

A. Guillaume

1990-08-01T23:59:59.000Z

49

Evaluating Rank Histograms Using Decompositions of the Chi-Square Test Statistic  

Science Conference Proceedings (OSTI)

Rank histograms are often plotted to evaluate the forecasts produced by an ensemble forecasting systeman ideal rank histogram is flat or uniform. It has been noted previously that the obvious test of flatness, the well-known ?2 goodness-of-...

Ian T. Jolliffe; Cristina Primo

2008-06-01T23:59:59.000Z

50

Model-Based Sampling and Inference  

U.S. Energy Information Administration (EIA) Indexed Site

Model-Based Sampling, Inference and Imputation Model-Based Sampling, Inference and Imputation James R. Knaub, Jr., Energy Information Administration, EI-53.1 James.Knaub@eia.doe.gov Key Words: Survey statistics, Randomization, Conditionality, Random sampling, Cutoff sampling Abstract: Picking a sample through some randomization mechanism, such as random sampling within groups (stratified random sampling), or, say, sampling every fifth item (systematic random sampling), may be familiar to a lot of people. These are design-based samples. Estimates of means and totals for an entire population may be inferred from such a sample, along with estimation of the amount of error that might be expected. However, inference based on a sample and its (modeled) relationship to other data may be less familiar. If there is enough

51

Window inference in isabelle  

E-Print Network (OSTI)

Window inference is a transformational style of reasoning that provides an intuitive framework for managing context during the transformation of subterms under transitive relations. This report describes the design for a prototype window inference tool in Isabelle, and discusses possible directions for the final tool. 1

Mark Staples

1995-01-01T23:59:59.000Z

52

arXiv.org - Announcement of new Statistics (stat) archive  

NLE Websites -- All DOE Office Websites (Extended Search)

and Semiparametric Methods Theory (stat.TH, linked to math.ST): Asymptotics, Bayesian Inference, Decision Theory, Estimation, Foundations, Inference, Testing All submissions...

53

arXiv.org - Statistics archive (April 2007)  

NLE Websites -- All DOE Office Websites (Extended Search)

Moderator: Larry Wasserman stat.TH - Theory (equivalent to math.ST) Asymptotics, Bayesian Inference, Decision Theory, Estimation, Foundations, Inference, Testing Moderator: Rob...

54

Tests for Non-Gaussian Statistics in the DMR Four-Year Sky Maps  

E-Print Network (OSTI)

We search the high-latitude portion of the COBE Differential Microwave Radiometers (DMR) 4-year sky maps for evidence of a non-Gaussian temperature distribution in the cosmic microwave background. The genus, 3-point correlation function, and 2-point correlation function of temperature maxima and minima are all in excellent agreement with the hypothesis that the CMB anisotropy on angular scales of 7 degrees or larger represents a random-phase Gaussian field. A likelihood comparison of the DMR sky maps to a set of random-phase non-Gaussian toy models selects the exact Gaussian model as most likely. Monte Carlo simulations show that the 2-point correlation of the peaks and valleys in the maps provides the greatest discrimination among the class of models tested.

A. Kogut; A. J. Banday; C. L. Bennett; K. Gorski; G. Hinshaw; G. F. Smoot; E. L. Wright

1996-01-12T23:59:59.000Z

55

Bayesian Inference from Scratch  

E-Print Network (OSTI)

We study epistemological and philosophical aspects of the Bayesian approach in different areas of science. The basic intuition as well as pedagogical introduction to the Bayesian framework is given for a further discussion concerning Bayesian inference in physics. We claim Bayesian inference to be susceptible to some epistemic limitations. We also point out paradoxes of confirmation, like Goodman's paradox, appearing in Bayesian Theory of Confirmation in the context of cosmological applications.

Mielczarek, Jakub; Tambor, Pawel

2009-01-01T23:59:59.000Z

56

Computationally efficient Bayesian inference for inverse problems.  

SciTech Connect

Bayesian statistics provides a foundation for inference from noisy and incomplete data, a natural mechanism for regularization in the form of prior information, and a quantitative assessment of uncertainty in the inferred results. Inverse problems - representing indirect estimation of model parameters, inputs, or structural components - can be fruitfully cast in this framework. Complex and computationally intensive forward models arising in physical applications, however, can render a Bayesian approach prohibitive. This difficulty is compounded by high-dimensional model spaces, as when the unknown is a spatiotemporal field. We present new algorithmic developments for Bayesian inference in this context, showing strong connections with the forward propagation of uncertainty. In particular, we introduce a stochastic spectral formulation that dramatically accelerates the Bayesian solution of inverse problems via rapid evaluation of a surrogate posterior. We also explore dimensionality reduction for the inference of spatiotemporal fields, using truncated spectral representations of Gaussian process priors. These new approaches are demonstrated on scalar transport problems arising in contaminant source inversion and in the inference of inhomogeneous material or transport properties. We also present a Bayesian framework for parameter estimation in stochastic models, where intrinsic stochasticity may be intermingled with observational noise. Evaluation of a likelihood function may not be analytically tractable in these cases, and thus several alternative Markov chain Monte Carlo (MCMC) schemes, operating on the product space of the observations and the parameters, are introduced.

Marzouk, Youssef M.; Najm, Habib N.; Rahn, Larry A.

2007-10-01T23:59:59.000Z

57

Data-free inference of uncertain model parameters.  

SciTech Connect

It is known that, in general, the correlation structure in the joint distribution of model parameters is critical to the uncertainty analysis of that model. Very often, however, studies in the literature only report nominal values for parameters inferred from data, along with confidence intervals for these parameters, but no details on the correlation or full joint distribution of these parameters. When neither posterior nor data are available, but only summary statistics such as nominal values and confidence intervals, a joint PDF must be chosen. Given the summary statistics it may not be reasonable nor necessary to assume the parameters are independent random variables. We demonstrate, using a Bayesian inference procedure, how to construct a posterior density for the parameters exhibiting self consistent correlations, in the absence of data, given (1) the fit-model, (2) nominal parameter values, (3) bounds on the parameters, and (4) a postulated statistical model, around the fit-model, for the missing data. Our approach ensures external Bayesian updating while marginalizing over possible data realizations. We then address the matching of given parameter bounds through the choice of hyperparameters, which are introduced in postulating the statistical model, but are not given nominal values. We discuss some possible approaches, including (1) inferring them in a separate Bayesian inference loop and (2) optimization. We also perform an empirical evaluation of the algorithm showing the posterior obtained with this data free inference compares well with the true posterior obtained from inference against the full data set.

Marzouk, Youssef M. (MIT, Cambridge, MA); Adalsteinsson, Helgi; Debusschere, Bert J.; Najm, Habib N.; Berry, Robert Bruce

2010-06-01T23:59:59.000Z

58

Vision as Bayesian Inference: Analysis by Synthesis?  

E-Print Network (OSTI)

In Perception u as Bayesian Inference, ed. DC Knill & WObject perception as Bayesian Inference. Annual Review of2003. Hierarchical Bayesian Inference in the Visual Cortex.

Yuille, Alan; Kersten, Daniel

2006-01-01T23:59:59.000Z

59

Vision as Bayesian Inference: Analysis by Synthesis?  

E-Print Network (OSTI)

In Perception u as Bayesian Inference, ed. DC Knill & WObject perception as Bayesian Inference. Annual Review of2003. Hierarchical Bayesian Inference in the Visual Cortex.

Alan Yuille; Daniel Kersten

2011-01-01T23:59:59.000Z

60

Scripting the type inference process  

Science Conference Proceedings (OSTI)

To improve the quality of type error messages in functional programming languages,we propose four techniques which influence the behaviour of constraint-based type inference processes. These techniques take the form of externally supplied type inference ... Keywords: constraints, directives, domain-specific programming, type errors, type inference

Bastiaan Heeren; Jurriaan Hage; S. Doaitse Swierstra

2003-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Inferences about Shear Zone Flow Pathways between CFM 06.002i2 and Pinkel from Tracer Tests 10-01 to 12-02  

SciTech Connect

This presentation provides an analysis of several tracer tests conducted at the Grimsel Test Site, Switzerland, between 2010 and early 2012, with the objective of testing a conceptual model of flow through the shear zone in which the tracer tests were conducted. The analysis includes predictions of tracer residence times in each of two flow pathways in the shear zone as a function of injection and extraction flow rates in the tracer tests. Conclusions are: (1) Separation of shear zone flow between CFM 06.002i2 and Pinkel into two predominant flow pathways seems reasonable; (2) Conceptual model is that travel time in pathway 1 is dependent on injection flow rate, and travel time in pathway 2 is dependent on extraction flow rate; (3) Predict residence time (in hours) in Pathway 1 equal to {approx}9.9/(Injection Flow Rate, ml/min), provided injection interval flow is greater than about 0.15 ml/min (which is not reliably achieved under natural flow/dilution conditions after installation of CFM 11.00X holes); and (4) Predict residence time of {approx}8 hrs in Pathway 2 with extraction flow rate of 25 ml/min.

Reimus, Paul W. [Los Alamos National Laboratory

2012-06-26T23:59:59.000Z

62

Statistical evaluation of physical properties in Area 12, Nevada Test Site, using the USGS/DNA Storage and Retrieval System  

SciTech Connect

The US Geological Survey/Defense Nuclear Agency Physical-Properties Storage and Retrieval System was used to generate tables displaying the basic statistics of physical-properties data sets sorted according to geologic identification and tunnel complex in Rainier and Aqueduct Mesas. An approximate procedure to statistically evaluate the significance of geologic identifier versus physical-property average value was developed. Results of this procedure indicate that no conclusive consistent relation exists between geologic identifier and physical-properties average value.

Brethauer, G.E.; Magner, J.E.; Miller, D.R.

1980-05-01T23:59:59.000Z

63

Bayesian Structural Inference for Hidden Processes  

E-Print Network (OSTI)

We introduce a Bayesian approach to discovering patterns in structurally complex processes. The proposed method of Bayesian Structural Inference (BSI) relies on a set of candidate unifilar Hidden Markov Model (uHMM) topologies for inference of model structure from a data series. Here, we focus on a recently developed exact enumeration of topological epsilon-machines. (A sequel then removes the topological restriction.) This subset of the uHMM topologies has the added benefit that inferred models are guaranteed to be epsilon-machines, irrespective of the estimated transition probabilities. Epsilon-machines and uHMMs lead, in turn, to analytic expressions for estimating transition probabilities, inferring start states, and comparing the posterior probability of candidate topologies, despite process internal structure being only indirectly present in data. We demonstrate BSI's effectiveness in estimating a process's randomness, as reflected by the Shannon entropy rate, and its structure, as quantified by the statistical complexity. We also compare using (i) all candidate models and (ii) the single, maximum a posteriori model for point estimation and show that the former more accurately reflects uncertainty in estimated values. We apply BSI to in-class examples of finite- and infinite-order Markov processes, as well to an out-of-class, infinite-state hidden process.

Christopher C. Strelioff; James P. Crutchfield

2013-09-05T23:59:59.000Z

64

The Suntory and Toyota International Centres for Economics and Related Disciplines Statistical Tests of Agreement between Observation and Hypothesis  

E-Print Network (OSTI)

The Suntory and Toyota International Centres for Economics and Related Disciplines Statistical of Economics and Political Science and The Suntory and Toyota International Centres for Economics and Related, The London School of Economics and Political Science, The Suntory and Toyota International Centres

Masci, Frank

65

Composable Probabilistic Inference with Blaise  

E-Print Network (OSTI)

Probabilistic inference provides a unified, systematic framework for specifying and solving these problems. Recent work has demonstrated the great value of probabilistic models defined over complex, structured domains. ...

Bonawitz, Keith A

2008-07-23T23:59:59.000Z

66

Cluster Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Cluster Statistics Genepool Cluster Utilization Genepool Usage by Group Process Accounting Data (houseHunter) Genepool Memory Heatmaps Genepool Time Heatmaps UGE...

67

Bayesian inference with optimal maps  

Science Conference Proceedings (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established ... Keywords: Bayesian inference, Inverse problems, Measure-preserving maps, Numerical optimization, Optimal transport, Polynomial chaos

Tarek A. El Moselhy; Youssef M. Marzouk

2012-10-01T23:59:59.000Z

68

From quantum Bayesian inference to quantum tomography  

E-Print Network (OSTI)

We derive an expression for a density operator estimated via Bayesian quantum inference in the limit of an infinite number of measurements. This expression is derived under the assumption that the reconstructed system is in a pure state. In this case the estimation corresponds to an averaging over a generalized microcanonical ensemble of pure states satisfying a set of constraints imposed by the measured mean values of the observables under consideration. We show that via the ``purification'' ansatz, statistical mixtures can also be consistently reconstructed via the quantum Bayesian inference scheme. In this case the estimation corresponds to averaging over the generalized canonical ensemble of states satisfying the given constraints, and the reconstructed density operator maximizes the von Neumann entropy (i.e., this density operator is equal to the generalized canonical density operator which follows from the Jaynes principle of maximum entropy). We study in detail the reconstruction of the spin-1/2 density operator and discuss the logical connection between the three reconstruction schemes, i.e., (1) quantum Bayesian inference, (2) reconstruction via the Jaynes principle of maximum entropy, and (3) discrete quantum tomography.

R. Derka; V. Buzek; G. Adam; P. L. Knight

1997-01-23T23:59:59.000Z

69

Space-time forecasting and evaluation of wind speed with statistical tests for comparing accuracy of spatial predictions  

E-Print Network (OSTI)

High-quality short-term forecasts of wind speed are vital to making wind power a more reliable energy source. Gneiting et al. (2006) have introduced a model for the average wind speed two hours ahead based on both spatial and temporal information. The forecasts produced by this model are accurate, and subject to accuracy, the predictive distribution is sharp, i.e., highly concentrated around its center. However, this model is split into nonunique regimes based on the wind direction at an off-site location. This work both generalizes and improves upon this model by treating wind direction as a circular variable and including it in the model. It is robust in many experiments, such as predicting at new locations. This is compared with the more common approach of modeling wind speeds and directions in the Cartesian space and use a skew-t distribution for the errors. The quality of the predictions from all of these models can be more realistically assessed with a loss measure that depends upon the power curve relating wind speed to power output. This proposed loss measure yields more insight into the true value of each model's predictions. One method of evaluating time series forecasts, such as wind speed forecasts, is to test the null hypothesis of no difference in the accuracy of two competing sets of forecasts. Diebold and Mariano (1995) proposed a test in this setting that has been extended and widely applied. It allows the researcher to specify a wide variety of loss functions, and the forecast errors can be non-Gaussian, nonzero mean, serially correlated, and contemporaneously correlated. In this work, a similar unconditional test of forecast accuracy for spatial data is proposed. The forecast errors are no longer potentially serially correlated but spatially correlated. Simulations will illustrate the properties of this test, and an example with daily average wind speeds measured at over 100 locations in Oklahoma will demonstrate its use. This test is compared with a wavelet-based method introduced by Shen et al. (2002) in which the presence of a spatial signal at each location in the dataset is tested.

Hering, Amanda S.

2009-08-01T23:59:59.000Z

70

Pediatric Pain, Predictive Inference and Sensitivity Analysis  

E-Print Network (OSTI)

G. E. P. and G. C. Tiao. Bayesian Inference Box, G.E.P. k inGeweke, J. (1989). Bayesian inference in econometric CarloKey Words: Bayesian Inference, Box-Cox Transformation,

Robert E. Weiss

2011-01-01T23:59:59.000Z

71

Variational bayesian inference for point process generalized linear models in neural spike trains analysis  

E-Print Network (OSTI)

Point process generalized linear models (GLMs) have been widely used for neural spike trains analysis. Statistical inference for GLMs include maximum likelihood and Bayesian estimation. Variational Bayesian (VB) methods ...

Chen, Zhe

72

Logarithmic time parallel Bayesian inference  

Science Conference Proceedings (OSTI)

I present a parallel algorithm for exact probabilistic inference in Bayesian networks. For polytree networks with n variables, the worstcase time complexity is O(logn) on a CREW PRAM (concurrent-read, exclusive-write parallel random-access ...

David M. Pennock

1998-07-01T23:59:59.000Z

73

Bayesian inference algorithm on Raw  

E-Print Network (OSTI)

This work explores the performance of Raw, a parallel hardware platform developed at MIT, running a Bayesian inference algorithm. Motivation for examining this parallel system is a growing interest in creating a self-learning ...

Luong, Alda

2004-01-01T23:59:59.000Z

74

DOE Science Showcase - Bayesian Inference | OSTI, US Dept of Energy, Office  

Office of Scientific and Technical Information (OSTI)

Bayesian Inference Bayesian Inference Credit: LANL For 250 years, the use of Bayesian inference methods has consistently been an important tool in estimating probabilities, given knowledge of certain related probabilities. These methods essentially provide a mathematical framework for rationally and coherently propagating uncertainty. The use of Bayesian statistical methods has increased in recent years due to the availability of simulation-based computational tools for implementation and form the basis of a wide variety of predictive modeling systems throughout DOE laboratories. DOE researchers are incorporating Bayesian inference in research areas such as crystallography, medical diagnostic and astronomical imaging, threat detection, groundwater transport modeling, building energy

75

Comparison of NDA and DA measurement techniques for excess plutonium powders at the Hanford Site: Statistical design and heterogeneity testing  

SciTech Connect

Quantitative physical measurements are a n component of the International Atomic Energy Agency (IAEA) nuclear material m&guards verification regime. In December 1994, LA.FA safeguards were initiated on an inventory of excess plutonium powder items at the Plutonium Finishing Plant, Vault 3, on the US Department of Energy`s Hanford Site. The material originl from the US nuclear weapons complex. The diversity of the chemical form and the heterogenous physical form of this inventory were anticipated to challenge the precision and accuracy of quantitative destructive analytical techniques. A sampling design was used to estimate the degree of heterogeneity of the plutonium content of a variety of inventory items. Plutonium concentration, the item net weight, and the {sup 240}Pu content were among the variables considered in the design. Samples were obtained from randomly selected location within each item. Each sample was divided into aliquots and analyzed chemically. Operator measurements by calorimetry and IAEA measurements by coincident neutron nondestructive analysis also were performed for the initial physical inventory verification materials and similar items not yet under IAEA safeguards. The heterogeneity testing has confirmed that part of the material is indeed significantly heterogeneous; this means that precautionary measures must be taken to obtain representative samples for destructive analysis. In addition, the sampling variability due to material heterogeneity was found to be comparable with, or greater than, the variability of the operator`s calorimetric measurements.

Welsh, T.L.; McRae, L.P.; Delegard, C.H. [Westinghouse Hanford Co., Richland, WA (United States); Liebetrau, A.M. [Pacific Northwest Lab., Richland, WA (United States); Johnson, W.C. [USDOE Richland Operations Office, WA (United States); Theis, W.; Lemaire, R.J. [International Atomic Energy Agency, Vienna (Austria); Xiao, J. [International Atomic Energy Agency, Toronto, Ontario (Canada)

1995-06-01T23:59:59.000Z

76

Darknet-Based Inference of Internet Worm Temporal Characteristics  

E-Print Network (OSTI)

Internet worm attacks pose a significant threat to network security and management. In this work, we coin the term Internet worm tomography as inferring the characteristics of Internet worms from the observations of Darknet or network telescopes that monitor a routable but unused IP address space. Under the framework of Internet worm tomography, we attempt to infer Internet worm temporal behaviors, i.e., the host infection time and the worm infection sequence, and thus pinpoint patient zero or initially infected hosts. Specifically, we introduce statistical estimation techniques and propose method of moments, maximum likelihood, and linear regression estimators. We show analytically and empirically that our proposed estimators can better infer worm temporal characteristics than a naive estimator that has been used in the previous work. We also demonstrate that our estimators can be applied to worms using different scanning strategies such as random scanning and localized scanning.

Wang, Qian; Chen, Chao

2010-01-01T23:59:59.000Z

77

Statistical Considerations  

U.S. Energy Information Administration (EIA)

Ap pen dix F Statistical Considerations Survey Methodology The Form EIA-23 survey is designed to provide reliable estimates for reserves and production of crude oil,

78

Haplotype inference by pure Parsimony  

Science Conference Proceedings (OSTI)

The next high-priority phase of human genomics will involve the development and use of a full Haplotype Map of the human genome [7]. A critical, perhaps dominating, problem in all such efforts is the inference of large-scale SNP-haplotypes from raw genotype ...

Dan Gusfield

2003-06-01T23:59:59.000Z

79

Bayesian Inference in the Scaling Analysis of Critical Phenomena  

E-Print Network (OSTI)

To determine the universality class of critical phenomena, we propose a method of statistical inference in the scaling analysis of critical phenomena. The method is based on Bayesian statistics, most specifically, the Gaussian process regression. It assumes only the smoothness of a scaling function, and it does not need a form. We demonstrate this method for the finite-size scaling analysis of the Ising models on square and triangular lattices. Near the critical point, the method is comparable in accuracy to the least-square method. In addition, it works well for data to which we cannot apply the least-square method with a polynomial of low degree. By comparing the data on triangular lattices with the scaling function inferred from the data on square lattices, we confirm the universality of the finite-size scaling function of the two-dimensional Ising model.

Harada, Kenji

2011-01-01T23:59:59.000Z

80

Bayesian Statistics and Its Application to Quantitative Trait Loci Mapping  

E-Print Network (OSTI)

2.2.4 Bayesian inference . . . . . . . . . . . . . . . . .and Genome Selection in Bayesian Shrinkage Analy- sis 3.11.3.2 Bayesian Shrinkage Method and Permutation Test for

Che, Xiaohong

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

On the Statistical Analysis of Cyclone Deepening Rates  

Science Conference Proceedings (OSTI)

Statistical analysis of cyclone deepening rates has been used in the past to infer distinctions between physical processes operative in cases of explosive cyclogenesis and lesser storms. This note attempts to qualify the conclusions of the ...

Paul J. Roebber

1989-10-01T23:59:59.000Z

82

Data-free inference of the joint distribution of uncertain model parameters.  

SciTech Connect

It is known that, in general, the correlation structure in the joint distribution of model parameters is critical to the uncertainty analysis of that model. Very often, however, studies in the literature only report nominal values for parameters inferred from data, along with confidence intervals for these parameters, but no details on the correlation or full joint distribution of these parameters. When neither posterior nor data are available, but only summary statistics such as nominal values and confidence intervals, a joint PDF must be chosen. Given the summary statistics it may not be reasonable nor necessary to assume the parameters are independent random variables. We demonstrate, using a Bayesian inference procedure, how to construct a posterior density for the parameters exhibiting self consistent correlations, in the absence of data, given (1) the fit-model, (2) nominal parameter values, (3) bounds on the parameters, and (4) a postulated statistical model, around the fit-model, for the missing data. Our approach ensures external Bayesian updating while marginalizing over possible data realizations. We then address the matching of given parameter bounds through the choice of hyperparameters, which are introduced in postulating the statistical model, but are not given nominal values. We discuss some possible approaches, including (1) inferring them in a separate Bayesian inference loop and (2) optimization. We also perform an empirical evaluation of the algorithm showing the posterior obtained with this data free inference compares well with the true posterior obtained from inference against the full data set.

Marzouk, Youssef M. (Massachusetts Institute of Technology, Boston, MA); Adalsteinsson, Helgi; Berry, Robert Dan; Debusschere, Bert J.; Najm, Habib N.

2010-05-01T23:59:59.000Z

83

Type inference for generic Haskell  

E-Print Network (OSTI)

Abstract. The more expressive a type system, the more type information has to be provided in a program. Having to provide a type is sometimes a pain, but lacking expressivity is often even worse. There is a continuous struggle between expressivity and (type-)verbosity. However, even very expressive type systems allow type inference for parts of a program. Generic Haskell is an extension of Haskell that supports defining generic functions. Generic Haskell assumes that the type of a generic function is explicitly specified. This is often no problem, but sometimes it is rather painful to have to specify a type in particular for generic functions with many dependencies and sometimes the specified type can be generalized. In this paper, we identify three type inference problems specific to generic functions, and present (partial) solutions to each of them. 1

Alexey Rodriguez; Johan Jeuring; Andres Lh

2005-01-01T23:59:59.000Z

84

Priors in quantum Bayesian inference  

E-Print Network (OSTI)

In quantum Bayesian inference problems, any conclusions drawn from a finite number of measurements depend not only on the outcomes of the measurements but also on a prior. Here we show that, in general, the prior remains important even in the limit of an infinite number of measurements. We illustrate this point with several examples where two priors lead to very different conclusions given the same measurement data.

Christopher A. Fuchs; Ruediger Schack

2009-06-09T23:59:59.000Z

85

Inference  

NLE Websites -- All DOE Office Websites (Extended Search)

air quality conditions 21, 12. This is particularly important in predictive control systems where load predictions (i.e., disturbances) are necessary. Occupancy estimates are...

86

STAT 4444: Applied Bayesian Statistics Spring 2011  

E-Print Network (OSTI)

. (2010) A Handbook of Statistical Analyses Using R, second edition, Chapman & Hall/ CRC, Boca Raton. Objectives: - Students understand fundamental differences between Bayesian and Classical inference. - Given and fundamental skills to understand scientific papers that use Bayesian methods. 1 #12;Grading: The grading

Wynne, Randolph H.

87

JGI - Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Statistics FY 2014 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (trillions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2014 15,000 18.827 126% 2,164 2208 102% Q2 2014 17,000 2,117 Q3 2014 18,000 2,140 Q4 2014 18,000 2,164 FY 2014 Total 68,000 18.827 28% 8,585 2208 26% * Includes Illumina HiSeq, MiSeq and PacBio sequencing platforms. ** Operating Hour target is based on 98% of the total available hours. FY 2013 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (Billions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2013 15,000 20,004 133% 2,164 2,208 102%

88

Laboratory tests, statistical analysis and correlations for regained permeability and breakthrough time in unconsolidated sands for improved drill-in fluid cleanup practices  

E-Print Network (OSTI)

Empirical models for estimating the breakthrough time and regained permeability for selected nondamaging drill-in fluids (DIF's) give a clear indication of formation damage and proper cleanup treatments for reservoir conditions analyzed in this study. We determined values of breakthrough time and regained permeability for common polymer-carbonate and sized-salt/saturated brine DIF's for a range at reservoir properties including temperature, drill solids content, and percent of acid in the cleanup treatment. We chose these DIF's because they form tight, thin filtercakes that control fluid leakoff and afford more complete wellbore cleanup properties than standard drilling muds, and we chose reservoir properties that could be varied and measured. Beginning with a large database of 101 tests with 8 independent variables such as type of drill-in fluid, temperature, screen type, presence of gravel pack, formation type, type of drill solids, concentration of drill solids, and cleanup treatments, we analyzed the importance of each variable. After that, we identified the independent variables we were taking into account during this research. Those variables were temperature, drill solids content, and concentration of hydrochloric acid in the cleanup treatment. Then we generated a matrix for each set of experiments that allowed us to organize and measure the conditions we were looking for, regained permeability and breakthrough time. In measuring the regained permeability, we used a linear-flow cell apparatus. In measuring the breakthrough time that particular cleaning procedures take to flow across the filter cake, we used a ceramic disc cell apparatus. We used statistical software to select properties, formation, and diagnostics of the models and to develop relationships among the properties of the DIF's. We developed four new empirical models for estimating the breakthrough time and regained permeability in polymer carbonate and sized salt. High correlations resulted with R values between 0.851 and 0.986 corroborated by close values of adjusted R-square and low P-values give validity to the correlations found. This technique gives a broad overview of the formation damage as well as the proper cleanup treatment for similar conditions presented in the field.

Serrano, Gerardo Enrique

2000-01-01T23:59:59.000Z

89

Analyzing Metagenomic Data: Inferring Microbial Community Function...  

NLE Websites -- All DOE Office Websites (Extended Search)

Metagenomic Data: Inferring Microbial Community Function with MG-RAST Publication Type Book Chapter Year of Publication 2010 Authors Antonopoulos, DA, Glass, EM, Meyer, F Book...

90

Adaptive neurofuzzy inference system-based pollution severity prediction of polymeric insulators in power transmission lines  

Science Conference Proceedings (OSTI)

This paper presents the prediction of pollution severity of the polymeric insulators used in power transmission lines using adaptive neurofuzzy inference system (ANFIS) model. In this work, laboratory-based pollution performance tests were carried out ...

C. Muniraj; S. Chandraseka

2011-01-01T23:59:59.000Z

91

Bayesian Inference with Optimal Maps  

E-Print Network (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

Moselhy, Tarek A El

2011-01-01T23:59:59.000Z

92

On the adoption of MC/DC and control-flow adequacy for a tight integration of program testing and statistical fault localization  

Science Conference Proceedings (OSTI)

Context: Testing and debugging consume a significant portion of software development effort. Both processes are usually conducted independently despite their close relationship with each other. Test adequacy is vital for developers to assure that sufficient ... Keywords: Adequacy criterion, Fault localization, MC/DC, Test case prioritization, Testing-debugging integration

Bo Jiang; Ke Zhai; W. K. Chan; T. H. Tse; Zhenyu Zhang

2013-05-01T23:59:59.000Z

93

Online query answering with differential privacy: a utility-driven approach using Bayesian inference  

E-Print Network (OSTI)

Data privacy issues frequently and increasingly arise for data sharing and data analysis tasks. In this paper, we study the problem of online query answering under the rigorous differential privacy model. The existing interactive mechanisms for differential privacy can only support a limited number of queries before the accumulated cost of privacy reaches a certain bound. This limitation has greatly hindered their applicability, especially in the scenario where multiple users legitimately need to pose a large number of queries. To minimize the privacy cost and extend the life span of a system, we propose a utility-driven mechanism for online query answering using Bayesian statistical inference. The key idea is to keep track of the query history and use Bayesian inference to answer a new query using previous query answers. The Bayesian inference algorithm provides both optimal point estimation and optimal interval estimation. We formally quantify the error of the inference result to determine if it satisfies t...

Xiao, Yonghui

2012-01-01T23:59:59.000Z

94

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly

95

Inference from Low Precision Transcriptome Data Representation  

Science Conference Proceedings (OSTI)

Microarray measurements are being widely used to infer gene functions, identify regulatory mechanisms and to predict phenotypes. These measurements are usually made and recorded to high numerical precision (e.g. 0.24601). However, aspects of the underlying ... Keywords: Gene expression, Inference, Microarray, Quantization

Salih Tuna; Mahesan Niranjan

2010-03-01T23:59:59.000Z

96

Characteristic Sets for Polynomial Grammatical Inference  

Science Conference Proceedings (OSTI)

When concerned about efficient grammatical inference two issues are relevant: the first one is to determine the quality of the result, and the second is to try to use polynomial time and space. A typical idea to deal with the first point is to say ... Keywords: exact identification, grammatical inference, polynomial learning

Colin De La Higuera

1997-05-01T23:59:59.000Z

97

Discontinuities in the Maximum-Entropy Inference  

E-Print Network (OSTI)

We revisit the maximum-entropy inference of the state of a finite-level quantum system under linear constraints. The constraints are specified by the expected values of a set of fixed observables. We point out the existence of discontinuities in this inference method. This is a pure quantum phenomenon since the maximum-entropy inference is continuous for mutually commuting observables. The question arises why some sets of observables are distinguished by a discontinuity in an inference method which is still discussed as a universal inference method. In this paper we make an example of a discontinuity and we explain a characterization of the discontinuities in terms of the openness of the (restricted) linear map that assigns expected values to states.

Stephan Weis

2013-08-28T23:59:59.000Z

98

AMERICAN STATISTICAL ASSOCIATION COMMITTEE ON ENERGY STATISTICS  

U.S. Energy Information Administration (EIA)

american statistical association. committee on energy statistics . nicolas hengartner (2005-2006) chair; member (2001-2006) mark bernstein (2000-2005)

99

Statistics Office Electricity, Renewables Uranium Statistics ...  

U.S. Energy Information Administration (EIA)

smart grid technology and outage data collection to develop improved industry statistics. Comment ...

100

Bayesian Inference in Monte-Carlo Tree Search  

E-Print Network (OSTI)

Monte-Carlo Tree Search (MCTS) methods are drawing great interest after yielding breakthrough results in computer Go. This paper proposes a Bayesian approach to MCTS that is inspired by distributionfree approaches such as UCT [13], yet significantly differs in important respects. The Bayesian framework allows potentially much more accurate (Bayes-optimal) estimation of node values and node uncertainties from a limited number of simulation trials. We further propose propagating inference in the tree via fast analytic Gaussian approximation methods: this can make the overhead of Bayesian inference manageable in domains such as Go, while preserving high accuracy of expected-value estimates. We find substantial empirical outperformance of UCT in an idealized bandit-tree test environment, where we can obtain valuable insights by comparing with known ground truth. Additionally we rigorously prove on-policy and off-policy convergence of the proposed methods.

Tesauro, Gerald; Segal, Richard

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Directional distributional similarity for lexical inference  

Science Conference Proceedings (OSTI)

Distributional word similarity is most commonly perceived as a symmetric relation. Yet, directional relations are abundant in lexical semantics and in many Natural Language Processing (NLP) settings that require lexical inference, making symmetric similarity ...

Lili Kotlerman; Ido Dagan; Idan Szpektor; Maayan Zhitomirsky-geffet

2010-10-01T23:59:59.000Z

102

Inferring evolutionary scenarios for protein domain compositions  

Science Conference Proceedings (OSTI)

Essential cellular processes are controlled by functional interactions of protein domains, which can be inferred from their evolutionary histories. Methods to reconstruct these histories are challenged by the complexity of reconstructing macroevolutionary ...

John Wiedenhoeft; Roland Krause; Oliver Eulenstein

2010-05-01T23:59:59.000Z

103

Path inference in data center networks  

Science Conference Proceedings (OSTI)

Path inference is the ability to determine the sequence of devices traversed by a packet within an IP network. This is a fundamental building block for several network and service management applications such as troubleshooting, planning, and ...

Kyriaki Levanti, Vijay Gopalakrishnan, Hyong S. Kim, Seungjoon Lee, Emmanuil Mavrogiorgis, Aman Shaikh

2012-10-01T23:59:59.000Z

104

Fuzzy Inference Systems toolbox for MATLAB: FISMAT  

E-Print Network (OSTI)

Introduction Fuzzy inference systems have found many applications in recent years. The simplicity of the design procedure of such systems is a dominant attraction in various industrial as well as household products. In most cases, the fuzzy inference system design procedure is related to an expert or a skilled human operator in that special domain. Among the various successful applications of fuzzy inference systems, we can mention the application of fuzzy theory in the subway system in the city of Sendai, Japan [1]; the detection of load and control of the washing cycle of a washing machine, the automatic focusing of the video camera, nuclear reactor control [2]. Despite the brisk and stimulating promotion of fuzzy theory [3] from academic research to production line, there is still a lack of a fuzzy system theory for the study of fuzzy inference systems. Although some attempts have recently been made [4], most research is domain dependent and therefore a general method is r

A. Lotfi

2000-01-01T23:59:59.000Z

105

Attention as a Bayesian inference process  

E-Print Network (OSTI)

David Marr famously defined vision as "knowing what is where by seeing". In the framework described here, attention is the inference process that solves the visual recognition problem of what is where. The theory proposes ...

Chikkerur, Sharat

106

Bayesian inference of stochastic dynamical models  

E-Print Network (OSTI)

A new methodology for Bayesian inference of stochastic dynamical models is developed. The methodology leverages the dynamically orthogonal (DO) evolution equations for reduced-dimension uncertainty evolution and the Gaussian ...

Lu, Peter Guang Yi

2013-01-01T23:59:59.000Z

107

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 91.087 90.500 85 76.075 ...

108

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... 2013 Africa 117.064 119.114 123.609 ...

109

TEST  

Science Conference Proceedings (OSTI)

This is an abstract. TEST Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras lacinia dui et est venenatis lacinia. Vestibulum lacus dolor, adipiscing id mattis sit amet, ultricies sed purus. Nulla consectetur aliquet feugiat. Maecenas ips

110

Bounds on the generalization ability of Bayesian Inference and Gibbs algorithms  

E-Print Network (OSTI)

Recent theoretical works applying the methods of statistical learning theory have put into relief the interest of old well known learning paradigms such as Bayesian inference and Gibbs algorithms. Sample complexity bounds have been given for such paradigms in the zero error case. This paper studies the behavior of these algorithms without this assumption. Results include uniform convergence of Gibbs algorithm towards Bayesian inference, rate of convergence of the empirical loss towards the generalization loss, convergence of the generalization error towards the optimal loss in the underlying class of functions.

Olivier Teytaud; Hlne Paugam-Moisy; Proceedings Of Icann; Olivier Teytaud

2001-01-01T23:59:59.000Z

111

Lifetime Prediction for Degradation of Solar Mirrors using Step-Stress Accelerated Testing (Presentation)  

DOE Green Energy (OSTI)

This research is to illustrate the use of statistical inference techniques in order to quantify the uncertainty surrounding reliability estimates in a step-stress accelerated degradation testing (SSADT) scenario. SSADT can be used when a researcher is faced with a resource-constrained environment, e.g., limits on chamber time or on the number of units to test. We apply the SSADT methodology to a degradation experiment involving concentrated solar power (CSP) mirrors and compare the results to a more traditional multiple accelerated testing paradigm. Specifically, our work includes: (1) designing a durability testing plan for solar mirrors (3M's new improved silvered acrylic "Solar Reflector Film (SFM) 1100") through the ultra-accelerated weathering system (UAWS), (2) defining degradation paths of optical performance based on the SSADT model which is accelerated by high UV-radiant exposure, and (3) developing service lifetime prediction models for solar mirrors using advanced statistical inference. We use the method of least squares to estimate the model parameters and this serves as the basis for the statistical inference in SSADT. Several quantities of interest can be estimated from this procedure, e.g., mean-time-to-failure (MTTF) and warranty time. The methods allow for the estimation of quantities that may be of interest to the domain scientists.

Lee, J.; Elmore, R.; Kennedy, C.; Gray, M.; Jones, W.

2011-09-01T23:59:59.000Z

112

Probable Inference and Quantum Mechanics  

SciTech Connect

In its current very successful interpretation the quantum theory is fundamentally statistical in nature. Although commonly viewed as a probability amplitude whose (complex) square is a probability, the wavefunction or state vector continues to defy consensus as to its exact meaning, primarily because it is not a physical observable. Rather than approach this problem directly, it is suggested that it is first necessary to clarify the precise role of probability theory in quantum mechanics, either as applied to, or as an intrinsic part of the quantum theory. When all is said and done the unsurprising conclusion is that quantum mechanics does not constitute a logic and probability unto itself, but adheres to the long-established rules of classical probability theory while providing a means within itself for calculating the relevant probabilities. In addition, the wavefunction is seen to be a description of the quantum state assigned by an observer based on definite information, such that the same state must be assigned by any other observer based on the same information, in much the same way that probabilities are assigned.

Grandy, W. T. Jr. [Department of Physics and Astronomy, University of Wyoming, Laramie, WY 82070 (United States)

2009-12-08T23:59:59.000Z

113

Step-Stress Accelerated Degradation Testing for Solar Reflectors: Preprint  

DOE Green Energy (OSTI)

To meet the challenge to reduce the cost of electricity generated with concentrating solar power (CSP) new low-cost reflector materials are being developed including metalized polymer reflectors and must be tested and validated against appropriate failure mechanisms. We explore the application of testing methods and statistical inference techniques for quantifying estimates and improving lifetimes of concentrating solar power (CSP) reflectors associated with failure mechanisms initiated by exposure to the ultraviolet (UV) part of the solar spectrum. In general, a suite of durability and reliability tests are available for testing a variety of failure mechanisms where the results of a set are required to understand overall lifetime of a CSP reflector. We will focus on the use of the Ultra-Accelerated Weathering System (UAWS) as a testing device for assessing various degradation patterns attributable to accelerated UV exposure. Depending on number of samples, test conditions, degradation and failure patterns, test results may be used to derive insight into failure mechanisms, associated physical parameters, lifetimes and uncertainties. In the most complicated case warranting advanced planning and statistical inference, step-stress accelerated degradation (SSADT) methods may be applied.

Jones, W.; Elmore, R.; Lee, J.; Kennedy, C.

2011-09-01T23:59:59.000Z

114

Performing Bayesian inference with exemplar models  

E-Print Network (OSTI)

Probabilistic models have recently received much attention as accounts of human cognition. However, previous work has focused on formulating the abstract problems behind cognitive tasks and their probabilistic solutions, rather than considering mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process models that use an inventory of stored examples to solve problems such as identification, categorization and function learning. We show that exemplar models can be interpreted as a sophisticated form of Monte Carlo approximation known as importance sampling, and thus provide a way to perform approximate Bayesian inference. Simulations of Bayesian inference in speech perception and concept learning show that exemplar models can account for human performance with only a few exemplars, for both simple and relatively complex prior distributions. Thus, we show that exemplar models provide a possible mechanism for implementing Bayesian inference.

Lei Shi; Naomi H. Feldman (naomi; Thomas L. Griffiths (tom

2008-01-01T23:59:59.000Z

115

Picturing classical and quantum Bayesian inference  

E-Print Network (OSTI)

We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum Bayesian inference wherein one considers density operators rather than probability distributions as representative of degrees of belief. The diagrammatic framework is stated in the graphical language of symmetric monoidal categories and of compact structures and Frobenius structures therein, in which Bayesian inversion boils down to transposition with respect to an appropriate compact structure. We characterize classical Bayesian inference in terms of a graphical property and demonstrate that our approach eliminates some purely conventional elements that appear in common representations thereof, such as whether degrees of belief are represented by probabilities or entropic quantities. We also introduce a quantum-like calculus wherein the Frobenius structure is noncommutative and show that it can accommodate Leifer's calculus of `cond...

Coecke, Bob

2011-01-01T23:59:59.000Z

116

Bayesian inference on EMRI signals using low frequency approximations  

E-Print Network (OSTI)

Extreme mass ratio inspirals (EMRIs) are thought to be one of the most exciting gravitational wave sources to be detected with LISA. Due to their complicated nature and weak amplitudes the detection and parameter estimation of such sources is a challenging task. In this paper we present a statistical methodology based on Bayesian inference in which the estimation of parameters is carried out by advanced Markov chain Monte Carlo (MCMC) algorithms such as parallel tempering MCMC. We analysed high and medium mass EMRI systems that fall well inside the low frequency range of LISA. In the context of the Mock LISA Data Challenges, our investigation and results are also the first instance in which a fully Markovian algorithm is applied for EMRI searches. Results show that our algorithm worked well in recovering EMRI signals from different (simulated) LISA data sets having single and multiple EMRI sources and holds great promise for posterior computation under more realistic conditions. The search and estimation meth...

Ali, Asad; Meyer, Renate; Rver, Christian; 10.1088/0264-9381/29/14/145014

2013-01-01T23:59:59.000Z

117

Inferring the Gibbs state of a small quantum system  

SciTech Connect

Gibbs states are familiar from statistical mechanics, yet their use is not limited to that domain. For instance, they also feature in the maximum entropy reconstruction of quantum states from incomplete measurement data. Outside the macroscopic realm, however, estimating a Gibbs state is a nontrivial inference task, due to two complicating factors: the proper set of relevant observables might not be evident a priori; and whenever data are gathered from a small sample only, the best estimate for the Lagrange parameters is invariably affected by the experimenter's prior bias. I show how the two issues can be tackled with the help of Bayesian model selection and Bayesian interpolation, respectively, and illustrate the use of these Bayesian techniques with a number of simple examples.

Rau, Jochen [Institut fuer Theoretische Physik, Johann Wolfgang Goethe-Universitaet, Max-von-Laue-Strasse 1, D-60438 Frankfurt am Main (Germany)

2011-07-15T23:59:59.000Z

118

Classical and Bayesian inference in neuroimaging: Theory  

E-Print Network (OSTI)

This paper reviews hierarchical observation models, used in functional neuroimaging, in a Bayesian light. It emphasizes the common ground shared by classical and Bayesian methods to show that conventional analyses of neuroimaging data can be usefully extended within an empirical Bayesian framework. In particular we formulate the procedures used in conventional data analysis in terms of hierarchical linear models and establish a connection between classical inference and parametric empirical Bayes (PEB) through covariance component estimation. This estimation is based on an expectation maximization or EM algorithm. The key point is that hierarchical models not only provide for appropriate inference at the highest level but that one can revisit lower levels suitably

K. J. Friston; W. Penny; C. Phillips; S. Kiebel; G. Hinton; J. Ashburner

2002-01-01T23:59:59.000Z

119

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 112.4 107.7 103.5 96.5 ...

120

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 1.907 1.909 2.101 2.197 ...

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 135.7 139.1 124.7 153.7 ...

122

Information and Inference in Econometrics: Estimation, Testing and Forecasting  

E-Print Network (OSTI)

Application: Forecasting Equity Premium . . . . . . . . . .2.6.1 Forecasting4 Forecasting Using Supervised Factor Models 4.1

Tu, Yundong

2012-01-01T23:59:59.000Z

123

Synoptic: studying logged behavior with inferred models  

Science Conference Proceedings (OSTI)

Logging is a powerful method for capturing program activity and state during an execution. However, log inspection remains a tedious activity, with developers often piecing together what went on from multiple log lines and across many files. This paper ... Keywords: log analysis, model inference, synoptic, temporal invariant mining

Ivan Beschastnikh; Jenny Abrahamson; Yuriy Brun; Michael D. Ernst

2011-09-01T23:59:59.000Z

124

Gradual typing with unification-based inference  

Science Conference Proceedings (OSTI)

Static and dynamic type systems have well-known strengths and weaknesses. Gradual typing provides the benefits of both in a single language by giving the programmer control over which portions of the program are statically checked based on the ... Keywords: dynamic typing, gradual typing, simply typed lambda calculus, static typing, type inference, unification

Jeremy G. Siek; Manish Vachharajani

2008-07-01T23:59:59.000Z

125

Book Review Bayesian Inference for Gene Expression  

E-Print Network (OSTI)

Book Review Bayesian Inference for Gene Expression and Proteomics. Edited by Kim-Anh Do, Peter Mu for a long time. This book is a timely publication entirely devoted to cutting-edge Bayesian methods in their own biological research. Moreover, the book calls for more methodological and theoretical research

Vannucci, Marina

126

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 10 10 11 11 11 10 ...

127

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan (s) (s) (s) (s ...

128

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Net Generation ... Bosnia and Herzegovina 0.039 ...

129

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Installed Capacity ... Bosnia and Herzegovina 2.411 ...

130

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; ...

131

Inferences On The Hydrothermal System Beneath The Resurgent Dome In Long  

Open Energy Info (EERE)

Inferences On The Hydrothermal System Beneath The Resurgent Dome In Long Inferences On The Hydrothermal System Beneath The Resurgent Dome In Long Valley Caldera, East-Central California, Usa, From Recent Pumping Tests And Geochemical Sampling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Inferences On The Hydrothermal System Beneath The Resurgent Dome In Long Valley Caldera, East-Central California, Usa, From Recent Pumping Tests And Geochemical Sampling Details Activities (6) Areas (1) Regions (0) Abstract: Quaternary volcanic unrest has provided heat for episodic hydrothermal circulation in the Long Valley caldera, including the present-day hydrothermal system, which has been active over the past 40 kyr. The most recent period of crustal unrest in this region of east-central California began around 1980 and has included periods of

132

Key China Energy Statistics 2011  

E-Print Network (OSTI)

consumption - Urban Other Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energy

Levine, Mark

2013-01-01T23:59:59.000Z

133

Statistics | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Statistics Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture Agricultural and Rural Statistics This website is supported by the Interagency Council on Agricultural and Rural Statistics (ICARS). ICARS is the effort of the US federal government's statistical agencies in support of the "Global Strategy to Improve Agriculture and Rural Statistics" which was developed under the United Nations Statistical Commission. The impetus for the Global Strategy was the recognition that agriculture and rural statistics are declining across the globe at the same time as new data requirements are emerging. The ICARS was established in 2010 with approval from Office of Management

134

The Plexus Model for the Inference of Ancestral Multidomain Proteins  

Science Conference Proceedings (OSTI)

Interactions of protein domains control essential cellular processes. Thus, inferring the evolutionary histories of multidomain proteins in the context of their families can provide rewarding insights into protein function. However, methods to infer ... Keywords: Proteins, domains, plexus, graphs, phylogeny.

John Wiedenhoeft; Roland Krause; Oliver Eulenstein

2011-07-01T23:59:59.000Z

135

Transitive inference in healthy humans and implications for schizophrenia  

E-Print Network (OSTI)

Transitive inference (TI) refers to inferences on relations between items based on other known relations of those items. Using a paradigm where participants first learn a series of four overlapping pairs that constitute ...

Zalesak, M. (Martin)

2006-01-01T23:59:59.000Z

136

Statistical Significance Testing in Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

Experiments are often performed with numerical forecast models to determine the response to a changed model formulation, initial conditions or boundary conditions. Such experiments are inherently subject to sampling error and it is not always ...

Roger Daley; Robert M. Chervin

1985-05-01T23:59:59.000Z

137

Sequential Inference for Latent Force Models  

E-Print Network (OSTI)

Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulated and solved using the state variable approach. We shall also show how the Gaussian process prior used in LFMs can be equivalently formulated as a linear statespace model driven by a white noise process and how inference on the resulting model can be efficiently implemented using Kalman filter and smoother. Then we shall show how the recently proposed switching LFM can be reformulated using the state variable approach, and how we can construct a probabilistic model for the switches by formulating a similar switching LFM as a switching linear dynamic system (SLDS). We illustrate the performance of the proposed methodology in simulated scenarios and apply it to inferring the switching points in GPS data collected from car movement data in urban environment.

Hartikainen, Jouni

2012-01-01T23:59:59.000Z

138

Inferring Function Semantics to Optimize Queries  

E-Print Network (OSTI)

The goal of the COKO-KOLA project [10, 9] is to express rules of rule-based optimizers in a manner permitting verification with a theorem prover. In [10], we considered query transformations that were too general to be expressed with rewrite rules. In this paper, we consider the complementary issue of expressing query transformations that are too specifc for rewrite rules. Such transformations require rewrite rules to be supplemented with semantic conditions to guard rule firing. This work considers the expression of such transformations using conditional rewrite rules, and the expression of inference rules to guide the optimizer in deciding if semantic conditions hold. This work differs from existing work in semantic query optimization in that semantic transformations in our framework are verifiable with a theorem prover. Further, our use of inference rules to guide semantic reasoning makes our optimizer extensible in a manner that is complementary to the extensibility benefits of existing rule-based technology. 1

Mitch Cherniack; Stan Zdonik

1998-01-01T23:59:59.000Z

139

BAMBI: blind accelerated multimodal Bayesian inference  

E-Print Network (OSTI)

In this paper we present an algorithm for rapid Bayesian analysis that combines the benefits of nested sampling and artificial neural networks. The blind accelerated multimodal Bayesian inference (BAMBI) algorithm implements the MultiNest package for nested sampling as well as the training of an artificial neural network (NN) to learn the likelihood function. In the case of computationally expensive likelihoods, this allows the substitution of a much more rapid approximation in order to increase significantly the speed of the analysis. We begin by demonstrating, with a few toy examples, the ability of a NN to learn complicated likelihood surfaces. BAMBI's ability to decrease running time for Bayesian inference is then demonstrated in the context of estimating cosmological parameters from WMAP and other observations. We show that valuable speed increases are achieved in addition to obtaining NNs trained on the likelihood functions for the different model and data combinations. These NNs can then be used for an...

Graff, Philip; Hobson, Michael P; Lasenby, Anthony

2011-01-01T23:59:59.000Z

140

Passive Network Tomography Using Bayesian Inference  

E-Print Network (OSTI)

this paper, we investigate the problem of identifying lossy links in the interior of the Internet by passively observing the end-to-end performance of existing traffic between a server and its clients. This is in contrast to the previous work on network tomography (e.g., [1]) that has been based on active probing. The key advantage of a passive approach is that it does not introduce wasteful traffic which might perturb the object of inference, i.e., the link loss rates. Moreover, our techniques depend only on knowing the number of lost and successful packets sent to each client rather than the exact loss sequence required by previous techniques such as [1]. While accuracy of link loss rate inference may consequently suffer, our techniques can still pinpoint the trouble spots in the network (e.g., highly lossy links)

Venkata N. Padmanabhan; Lili Qiu; Helen J. Wang

2002-01-01T23:59:59.000Z

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141

Using the Birth-Death Process to Infer Changes in the Pattern of Lineage Gain and Loss  

E-Print Network (OSTI)

Bayesian Inference . . . . . . . . . . . . . . . . . . . . . . . . . . . .2008. A. M. Ellison. Bayesian inference in ecology. EcologyRonquist. MRBAYES: Bayesian inference of phylogenetic trees.

Hallinan, Nathaniel Malachi

2011-01-01T23:59:59.000Z

142

Hierarchical Bayesian inference in the brain: psychological models and neural implementation  

E-Print Network (OSTI)

A Hierarchical Bayesian inference structure by recursiveas a mechanism for performing Bayesian inference 15 Exemplarof sequential Bayesian inference The sequential estimation

Shi, Lei

2009-01-01T23:59:59.000Z

143

Picturing classical and quantum Bayesian inference  

E-Print Network (OSTI)

We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum Bayesian inference wherein one considers density operators rather than probability distributions as representative of degrees of belief. The diagrammatic framework is stated in the graphical language of symmetric monoidal categories and of compact structures and Frobenius structures therein, in which Bayesian inversion boils down to transposition with respect to an appropriate compact structure. We characterize classical Bayesian inference in terms of a graphical property and demonstrate that our approach eliminates some purely conventional elements that appear in common representations thereof, such as whether degrees of belief are represented by probabilities or entropic quantities. We also introduce a quantum-like calculus wherein the Frobenius structure is noncommutative and show that it can accommodate Leifer's calculus of `conditional density operators'. The notion of conditional independence is also generalized to our graphical setting and we make some preliminary connections to the theory of Bayesian networks. Finally, we demonstrate how to construct a graphical Bayesian calculus within any dagger compact category.

Bob Coecke; Robert W. Spekkens

2011-02-11T23:59:59.000Z

144

A Method to Infer Observation Time Based on Day-to-Day Temperature Variations  

Science Conference Proceedings (OSTI)

A method to infer the observation time of a station at annual resolution is developed and tested at stations in the United States. The procedure is based on a tendency for the percentiles of the monthly distribution of positive day-to-day maximum ...

Arthur T. DeGaetano

1999-12-01T23:59:59.000Z

145

BayesCLUMPY: BAYESIAN INFERENCE WITH CLUMPY DUSTY TORUS MODELS  

SciTech Connect

Our aim is to present a fast and general Bayesian inference framework based on the synergy between machine learning techniques and standard sampling methods and apply it to infer the physical properties of clumpy dusty torus using infrared photometric high spatial resolution observations of active galactic nuclei. We make use of the Metropolis-Hastings Markov Chain Monte Carlo algorithm for sampling the posterior distribution function. Such distribution results from combining all a priori knowledge about the parameters of the model and the information introduced by the observations. The main difficulty resides in the fact that the model used to explain the observations is computationally demanding and the sampling is very time consuming. For this reason, we apply a set of artificial neural networks that are used to approximate and interpolate a database of models. As a consequence, models not present in the original database can be computed ensuring continuity. We focus on the application of this solution scheme to the recently developed public database of clumpy dusty torus models. The machine learning scheme used in this paper allows us to generate any model from the database using only a factor of 10{sup -4} of the original size of the database and a factor of 10{sup -3} in computing time. The posterior distribution obtained for each model parameter allows us to investigate how the observations constrain the parameters and which ones remain partially or completely undetermined, providing statistically relevant confidence intervals. As an example, the application to the nuclear region of Centaurus A shows that the optical depth of the clouds, the total number of clouds, and the radial extent of the cloud distribution zone are well constrained using only six filters. The code is freely available from the authors.

Asensio Ramos, A.; Ramos Almeida, C. [Instituto de AstrofIsica de Canarias, 38205, La Laguna, Tenerife (Spain)], E-mail: aasensio@iac.es

2009-05-10T23:59:59.000Z

146

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 0 0 ...

147

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | ...

148

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 Kuwait ...

149

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 0.213 Kuwait 63.500 Lebanon 0 Oman ...

150

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | Stocks |

151

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 JAN FEB MAR APR MAY JUN ...

152

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 Middle East 802.157 Bahrain 0.125 ...

153

Submitted to the Annals of Applied Statistics A BAYESIAN APPROACH FOR INFERRING NEURONAL  

E-Print Network (OSTI)

CONNECTIVITY FROM CALCIUM FLUORESCENT IMAGING DATA By Yuriy Mishchencko, Joshua T. Vogelstein, and Liam; Braitenberg and Schuz, 1998). Alternately, calcium-sensitive fluorescent indicators allow us to observe accuracy as well (Wallace et al., 2008). Microscopy technologies for collecting fluorescence signals

Paninski, Liam

154

Statistical inference of minimum BD estimators and classifiers for varying-dimensional models  

Science Conference Proceedings (OSTI)

Stochastic modeling for large-scale datasets usually involves a varying-dimensional model space. This paper investigates the asymptotic properties, when the number of parameters grows with the available sample size, of the minimum-BD estimators and classifiers ... Keywords: A diverging number of parameters, Exponential family, Hemodynamic response function, Loss function, Optimal Bayes rule, primary, secondary

Chunming Zhang

2010-08-01T23:59:59.000Z

155

Statistical Learning Theory of Protein Dynamics  

E-Print Network (OSTI)

3.3 The Bayesian Inference Framework of smFRET forD. & Pande, V. Bayesian inference for Brownian dynamics.International Workshop on Bayesian Inference and Maximum

Haas, Kevin

2013-01-01T23:59:59.000Z

156

Estimating meteor rates using Bayesian inference  

E-Print Network (OSTI)

A method for estimating the true meteor rate \\lambda\\ from a small number of observed meteors n is derived. We employ Bayesian inference with a Poissonian likelihood function. We discuss the choice of a suitable prior and propose the adoption of Jeffreys prior, P(\\lambda)=\\lambda^{-0.5}, which yields an expectation value E(\\lambda) = n+0.5 for any n \\geq 0. We update the ZHR meteor activity formula accordingly, and explain how 68%- and 95%-confidence intervals can be computed.

Barentsen, Geert; Frhlich, Hans-Erich

2011-01-01T23:59:59.000Z

157

Association search in semantic web: search + inference  

E-Print Network (OSTI)

Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of association search and our preliminary solution for it using Bayesian network. We first minutely define the association search and its categorization. We then define tasks in association search. In terms of Bayesian network, we take ontology taxonomy as network structure in Bayesian network. We use the query log of instances to estimate the network parameters. After the Bayesian network is constructed, we give the solution for association search in the network.

Liang Bangyong

2005-01-01T23:59:59.000Z

158

UK Energy Statistics: Electricity (2010) UK National Statistics...  

Open Energy Info (EERE)

Statistics: Electricity (2010) UK National Statistics on electricity generation through sales are presented in Chapter 5 (Electricity) of the Digest of UK Energy Statistics...

159

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 0.2 ...

160

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 Kuwait ...

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.225 0.220 0.231 0.251 ...

162

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.214 0.225 0.220 0.231 ...

163

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 17.1 6.5 3.2 37.8 26.0 10.0 ...

164

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.220 0.213 0.213 0.213 ...

165

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 20.058 19.861 19.295 19.625 ...

166

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 41.1 35.6 30.8 28.1 30.8 31 ...

167

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 1Q 2Q 3Q 4Q 1Q 2Q ...

168

ARM - Historical Visitor Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report facility use for actual visitors and for active user...

169

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 100.150 ... 180.028 Virgin Islands, U.S. 0 0 0 0 0 0 ...

170

3. Crude Oil Statistics  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,371 million barrels of crude oil proved reserves as of December 31, 2004. Crude oil proved reserves ...

171

Bayesian inference on EMRI signals using low frequency approximations  

E-Print Network (OSTI)

Extreme mass ratio inspirals (EMRIs) are thought to be one of the most exciting gravitational wave sources to be detected with LISA. Due to their complicated nature and weak amplitudes the detection and parameter estimation of such sources is a challenging task. In this paper we present a statistical methodology based on Bayesian inference in which the estimation of parameters is carried out by advanced Markov chain Monte Carlo (MCMC) algorithms such as parallel tempering MCMC. We analysed high and medium mass EMRI systems that fall well inside the low frequency range of LISA. In the context of the Mock LISA Data Challenges, our investigation and results are also the first instance in which a fully Markovian algorithm is applied for EMRI searches. Results show that our algorithm worked well in recovering EMRI signals from different (simulated) LISA data sets having single and multiple EMRI sources and holds great promise for posterior computation under more realistic conditions. The search and estimation methods presented in this paper are general in their nature, and can be applied in any other scenario such as AdLIGO, AdVIRGO and Einstein Telescope with their respective response functions.

Asad Ali; Nelson Christensen; Renate Meyer; Christian Rver

2013-01-03T23:59:59.000Z

172

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Statistics of the People's Republic of China, various years.China Energy Statistical Yearbook.Beijing: China Statistics Press. 2. Transformation National

Levine, Mark

2013-01-01T23:59:59.000Z

173

FY 2005 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

174

LCLS Publications: Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

LCLS Publications: Statistics LCLS Publications: Statistics Sign In Launch the Developer Dashboard SLAC National Accelerator Laboratory DOE | Stanford | SLAC | SSRL | LCLS | AD | PPA | Photon Science | PULSE | SIMES LCLS : LCLS Publications: Statistics Linac Coherent Light Source An Office of Science User Facility Search this site... Search Help (new window) Top Link Bar LCLS Lasers Expand Lasers LCLS Quick Launch Home About LCLS Expand About LCLS LCLS News Expand LCLS News User Resources Expand User Resources Instruments Expand Instruments Proposals Publications Expand Publications Schedules Machine Status Machine FAQs Safety Organization Expand Organization Directories Expand Directories Staff Resources Contact Us All Site Content Department of Energy Page Content LCLS Publications: Statistics 2013 | 2012 | 2011 | 2010 | 2009 | Archive | Citations | Statistics

175

Growth History Of Kilauea Inferred From Volatile Concentrations...  

Open Energy Info (EERE)

Growth History Of Kilauea Inferred From Volatile Concentrations In Submarine-Collected Basalts Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Growth...

176

Bayesian inference from photometric redshift surveys  

E-Print Network (OSTI)

We show how to enhance the redshift accuracy of surveys consisting of tracers with highly uncertain positions along the line of sight. Photometric surveys with redshift uncertainty delta_z ~ 0.03 can yield final redshift uncertainties of delta_z_f ~ 0.003 in high density regions. This increased redshift precision is achieved by imposing an isotropy and 2-point correlation prior in a Bayesian analysis and is completely independent of the process that estimates the photometric redshift. As a byproduct, the method also infers the three dimensional density field, essentially super-resolving high density regions in redshift space. Our method fully takes into account the survey mask and selection function. It uses a simplified Poissonian picture of galaxy formation, relating preferred locations of galaxies to regions of higher density in the matter field. The method quantifies the remaining uncertainties in the three dimensional density field and the true radial locations of galaxies by generating samples that are ...

Jasche, Jens

2011-01-01T23:59:59.000Z

177

AMERICAN STATISTICAL ASSOCIATION  

U.S. Energy Information Administration (EIA) Indexed Site

AMERICAN STATISTICAL ASSOCIATION AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee Member NEHA KHANA Committee Member NAGARAJ K. NEERCHAL Committee Member

178

AMERICAN STATISTICAL ASSOCIATION (ASA)  

U.S. Energy Information Administration (EIA) Indexed Site

AMERICAN STATISTICAL ASSOCIATION (ASA) AMERICAN STATISTICAL ASSOCIATION (ASA) MEETING OF THE COMMITTEE ON ENERGY STATISTICS WITH THE ENERGY INFORMATION ADMINISTRATION (EIA) Washington, D.C. Friday, April 29, 2005 COMMITTEE MEMBERS: NICOLAS HENGARTNER, Chair Los Alamos National Laboratory MARK BERNSTEIN RAND Corporation CUTLER CLEVELAND Center for Energy and Environmental Studies JAE EDMONDS Pacific Northwest National Laboratory MOSHE FEDER Research Triangle Institute BARBARA FORSYTH Westat WALTER HILL St. Mary's College of Maryland NEHA KHANNA Binghamton University NAGARAJ K. NEERCHAL University of Maryland Baltimore County SUSAN M. SEREIKA University of Pittsburgh DARIUS SINGPURWALLA LECG RANDY R. SITTER Simon Fraser University ALSO PRESENT: MARGOT ANDERSON Energy Information Administration ALSO PRESENT (CONT'D):

179

International Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

> Countries > International Energy Statistics > Countries > International Energy Statistics International Energy Statistics Petroleum Production| Annual Monthly/Quarterly Consumption | Annual Monthly/Quarterly Capacity | Bunker Fuels | Stocks | Annual Monthly/Quarterly Reserves | Imports | Annual Monthly/Quarterly Exports | CO2 Emissions | Heat Content Natural Gas All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Coal All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Electricity Generation | Consumption | Capacity | Imports | Net Imports | Exports | Distribution Losses | Heat Content Renewables Electricity Generation| Electricity Consumption | Biofuels Production | Biofuels Consumption | Heat Content Total Energy

180

GSE statistics without spin  

E-Print Network (OSTI)

Energy levels statistics following the Gaussian Symplectic Ensemble (GSE) of Random Matrix Theory have been predicted theoretically and observed numerically in numerous quantum chaotic systems. However in all these systems there has been one unifying feature: the combination of half-integer spin and time-reversal invariance. Here we provide an alternative mechanism for obtaining GSE statistics that is based on geometric symmetries of a quantum system which alleviates the need for spin. As an example, we construct a quantum graph with a particular discrete symmetry given by the quaternion group Q8. GSE statistics is then observed within one of its subspectra.

Christopher H. Joyner; Sebastian Mller; Martin Sieber

2013-02-11T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Bayesian Statistics and Its Application to Quantitative Trait Loci Mapping  

E-Print Network (OSTI)

2.2.4 Bayesian inference . . . . . . . . . . . . . . . . .distributions for bayesian inference. Journal of the RoyalIllustration of bayesian inference in normal data models

Che, Xiaohong

2011-01-01T23:59:59.000Z

182

HIPLEX-1: Statistical Evaluation  

Science Conference Proceedings (OSTI)

Results of statistical analyses for HIPLEX-1, a randomized cloud seeding experiment, are presented. The analyses are based principally on multi-response permutation procedures (MRPP) as specified before the HIPLEX-1 experiment was initiated. Even ...

Paul W. Mielke Jr.; Kenneth J. Berry; Arnett S. Dennis; Paul L. Smith; James R. Miller Jr.; Bernard A. Silverman

1984-04-01T23:59:59.000Z

183

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

184

APS Operational Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

physics, geology, and environmental science. The APS was built by the U.S. Department of Energy as a national user facility. This page provides access to operational statistics...

185

infer: A Bayesian inference approach towards energy efficient data collection in dense sensor networks  

E-Print Network (OSTI)

In this paper, we propose a novel approach for efficiently sensing a remote field using wireless sensor networks. Our approach, the infer algorithm, is fully distributed, has low overhead and saves considerable energy compared to using just the data aggregation communication paradigm. This is accomplished by using a distributed algorithm to put nodes into sleep mode for a given period of time, thereby trading off energy usage for the accuracy of the data received at the sink. Bayesian inference is used to infer the missing data from the nodes that were not active during each sensing epoch. As opposed to other methods that have been considered, such as wavelet compression and distributed source coding, our algorithm has lower overhead in terms of both inter-node communication and computational complexity. Our simulations show that on average our algorithm produces energy savings of 59 % while still maintaining data that is accurate to within 7.9%. We also show how the parameters of the algorithm may be tuned to optimize network lifetime for a desired level of data accuracy. 1.

Gregory Hartl; Baochun Li

2005-01-01T23:59:59.000Z

186

Risk-based access control systems built on fuzzy inferences  

Science Conference Proceedings (OSTI)

Fuzzy inference is a promising approach to implement risk-based access control systems. However, its application to access control raises some novel problems that have not been yet investigated. First, because there are many different fuzzy operations, ... Keywords: access control, fuzzy inference, risk

Qun Ni; Elisa Bertino; Jorge Lobo

2010-04-01T23:59:59.000Z

187

Type inference for datalog with complex type hierarchies  

Science Conference Proceedings (OSTI)

Type inference for Datalog can be understood as the problem of mapping programs to a sublanguage for which containment is decidable. To wit, given a program in Datalog, a schema describing the types of extensional relations, and a user-supplied set of ... Keywords: datalog, type inference, type system

Max Schfer; Oege de Moor

2010-01-01T23:59:59.000Z

188

On the structure of elimination trees for Bayesian network inference  

Science Conference Proceedings (OSTI)

We present an optimization to elimination tree inference in Bayesian networks through the use of unlabeled nodes, or nodes that are not labeled with a variable from the Bayesian network. Through the use of these unlabeled nodes, we are able to restructure ... Keywords: Bayesian networks, inference, offline computation

Kevin Grant; Keilan Scholten

2010-11-01T23:59:59.000Z

189

FPGA Implementation of Fuzzy Inference System for Embedded Applications  

E-Print Network (OSTI)

- based FIS has been used to control the operation of a permanent magnet (PM) motor in a washing machine of the whole system. A fuzzy inference system has been implemented on an FPGA, and used to control a PM motor:- FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine. INTRODUCTION The real world

190

Integer Programming Approaches to Haplotype Inference by Pure Parsimony  

Science Conference Proceedings (OSTI)

In 2003, Gusfield introduced the Haplotype Inference by Pure Parsimony (HIPP) problem and presented an integer program (IP) that quickly solved many simulated instances of the problem [1]. Although it solved well on small instances, Gusfield's IP can ... Keywords: Computations on discrete structures, integer programming, biology and genetics, haplotype inference.

Daniel G. Brown; Ian M. Harrower

2006-04-01T23:59:59.000Z

191

Graphical and incremental type inference: a graph transformation approach  

Science Conference Proceedings (OSTI)

We present a graph grammar based type inference system for a totally graphic development language. NiMo (Nets in Motion) can be seen as a graphic equivalent to Haskell that acts as an on-line tracer and debugger. Programs are process networks that evolve ... Keywords: graphical language, process networks, type inference, type visualization

Silvia Clerici; Cristina Zoltan; Guillermo Prestigiacomo

2010-05-01T23:59:59.000Z

192

Analysis of KATRIN data using Bayesian inference  

E-Print Network (OSTI)

The KATRIN (KArlsruhe TRItium Neutrino) experiment will be analyzing the tritium beta-spectrum to determine the mass of the neutrino with a sensitivity of 0.2 eV (90% C.L.). This approach to a measurement of the absolute value of the neutrino mass relies only on the principle of energy conservation and can in some sense be called model-independent as compared to cosmology and neutrino-less double beta decay. However by model independent we only mean in case of the minimal extension of the standard model. One should therefore also analyse the data for non-standard couplings to e.g. righthanded or sterile neutrinos. As an alternative to the frequentist minimization methods used in the analysis of the earlier experiments in Mainz and Troitsk we have been investigating Markov Chain Monte Carlo (MCMC) methods which are very well suited for probing multi-parameter spaces. We found that implementing the KATRIN chi squared function in the COSMOMC package - an MCMC code using Bayesian parameter inference - solved the ...

Riis, Anna Sejersen; Weinheimer, Christian

2011-01-01T23:59:59.000Z

193

Analysis of KATRIN data using Bayesian inference  

E-Print Network (OSTI)

The KATRIN (KArlsruhe TRItium Neutrino) experiment will be analyzing the tritium beta-spectrum to determine the mass of the neutrino with a sensitivity of 0.2 eV (90% C.L.). This approach to a measurement of the absolute value of the neutrino mass relies only on the principle of energy conservation and can in some sense be called model-independent as compared to cosmology and neutrino-less double beta decay. However by model independent we only mean in case of the minimal extension of the standard model. One should therefore also analyse the data for non-standard couplings to e.g. righthanded or sterile neutrinos. As an alternative to the frequentist minimization methods used in the analysis of the earlier experiments in Mainz and Troitsk we have been investigating Markov Chain Monte Carlo (MCMC) methods which are very well suited for probing multi-parameter spaces. We found that implementing the KATRIN chi squared function in the COSMOMC package - an MCMC code using Bayesian parameter inference - solved the task at hand very nicely.

Anna Sejersen Riis; Steen Hannestad; Christian Weinheimer

2011-05-30T23:59:59.000Z

194

Inference by replication in densely connected systems  

SciTech Connect

An efficient Bayesian inference method for problems that can be mapped onto dense graphs is presented. The approach is based on message passing where messages are averaged over a large number of replicated variable systems exposed to the same evidential nodes. An assumption about the symmetry of the solutions is required for carrying out the averages; here we extend the previous derivation based on a replica-symmetric- (RS)-like structure to include a more complex one-step replica-symmetry-breaking-like (1RSB-like) ansatz. To demonstrate the potential of the approach it is employed for studying critical properties of the Ising linear perceptron and for multiuser detection in code division multiple access (CDMA) under different noise models. Results obtained under the RS assumption in the noncritical regime give rise to a highly efficient signal detection algorithm in the context of CDMA; while in the critical regime one observes a first-order transition line that ends in a continuous phase transition point. Finite size effects are also observed. While the 1RSB ansatz is not required for the original problems, it was applied to the CDMA signal detection problem with a more complex noise model that exhibits RSB behavior, resulting in an improvement in performance.

Neirotti, Juan P.; Saad, David [The Neural Computing Research Group, Aston University, Birmingham B4 7ET (United Kingdom)

2007-10-15T23:59:59.000Z

195

Atomic Inference from Weak Gravitational Lensing Data  

SciTech Connect

We present a novel approach to reconstructing the projected mass distribution from the sparse and noisy weak gravitational lensing shear data. The reconstructions are regularized via the knowledge gained from numerical simulations of clusters, with trial mass distributions constructed from n NFW profile ellipsoidal components. The parameters of these ''atoms'' are distributed a priori as in the simulated clusters. Sampling the mass distributions from the atom parameter probability density function allows estimates of the properties of the mass distribution to be generated, with error bars. The appropriate number of atoms is inferred from the data itself via the Bayesian evidence, and is typically found to be small, reecting the quality of the data. Ensemble average mass maps are found to be robust to the details of the noise realization, and succeed in recovering the demonstration input mass distribution (from a realistic simulated cluster) over a wide range of scales. As an application of such a reliable mapping algorithm, we comment on the residuals of the reconstruction and the implications for predicting convergence and shear at specific points on the sky.

Marshall, Phil; /KIPAC, Menlo Park

2005-12-14T23:59:59.000Z

196

The Promise of Bayesian Inference for Astrophysics  

E-Print Network (OSTI)

. The `frequentist' approach to statistics, currently dominating statistical practice in astrophysics, is compared to the historically older Bayesian approach, which is now growing in popularity in other scientific disciplines, and which provides unique, optimal solutions to well-posed problems. The two approaches address the same questions with very different calculations, but in simple cases often give the same final results, confusing the issue of whether one is superior to the other. Here frequentist and Bayesian methods are applied to problems where such a mathematical coincidence does not occur, allowing assessment of their relative merits based on their performance, rather than on philosophical argument. Emphasis is placed on a key distinction between the two approaches: Bayesian methods, based on comparisons among alternative hypotheses using the single observed data set, consider averages over hypotheses; frequentist methods, in contrast, average over hypothetical alternative...

T. J. Loredo

1992-01-01T23:59:59.000Z

197

FY 2013 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

198

FY 2009 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

199

Statistical Software and the e-Handbook of Statistical Methods  

Science Conference Proceedings (OSTI)

Statistical Software and the e-Handbook of Statistical Methods. ... The example data in the Handbook is also analyzed using R software. ...

2013-11-26T23:59:59.000Z

200

Statistics Canada Energy Data: 2005 - 2009 Statistics Canada...  

Open Energy Info (EERE)

statistics are published on the Statistics Canada website. The data includes: annual energy fuel consumption in the manufacturing sector, by fuel type and by subsectors (2005...

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Cloud Fluctuation Statistics  

Science Conference Proceedings (OSTI)

A space-time statistical analysis of total outgoing infrared radiation (derived from the 10.512.5 ?m window measurements of the NOAA operational satellites) is used to determine the gross features of day-to-day cloudiness fluctuations over the ...

R. F. Cahalan; D. A. Short; G. R. North

1982-01-01T23:59:59.000Z

202

Quantum Statistics Madalin Guta  

E-Print Network (OSTI)

Quantum Statistics Madalin Gut¸a School of Mathematics University of Nottingham 1 #12;The old paradigm Quantum Mechanics up to the 80's Quantum measurements have random results Only probability particles, any more than we can raise Ichtyosauria in the zoo 2 #12;The new paradigm Individual quantum

Guta, Madalin

203

Satellite-Inferred Morning-to-Evening Cloudiness Changes  

Science Conference Proceedings (OSTI)

Outgoing infrared radiation (IR) values inferred from radiance measurements in the water vapor window (10.512.5 ?m) taken at approximately 0900 and 2100 LT by scanning radiometers aboard the polar orbiting NOAA satellites are compared in order ...

David A. Short; John M. Wallace

1980-08-01T23:59:59.000Z

204

What and Where: A Bayesian inference theory of visual attention  

E-Print Network (OSTI)

In the theoretical framework of this paper, attention is part of the inference process that solves the visual recognition problem of what is where. The theory proposes a computational role for attention and leads to a model ...

Chikkerur, Sharat

205

Global Datasets of Rooting Zone Depth Inferred from Inverse Methods  

Science Conference Proceedings (OSTI)

Two inverse methods are applied to a land surface model to infer global patterns of the hydrologically active depth of the vegetation's rooting zone. The first method is based on the assumption that vegetation is optimally adapted to its ...

Axel Kleidon

2004-07-01T23:59:59.000Z

206

Essays on set estimation and inference with moment inequalities  

E-Print Network (OSTI)

This thesis explores power and consistency of estimation and inference procedures with moment inequalities, and applications of the moment inequality framework to estimation of frontiers in finance. In the first chapter, ...

Menzel, Konrad, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

207

Partial Type Inference with Higher-Order Types.  

E-Print Network (OSTI)

??The language MLF is an extension of System-F that permits robust first-order partial type inference with second-order polymorphism. We propose an extension of MLF's graphical (more)

HERMS, PAOLO

2009-01-01T23:59:59.000Z

208

Inferring Relative Humidity Profiles from 3DNEPH Cloud Data  

Science Conference Proceedings (OSTI)

The inference of profiles of relative humidity from cloud data was investigated in a collocation study of 3DNEPH and radiosonde data over North America. Regression equations were developed for the first two EOFs of relative humidity, using ...

Thomas Nehrkorn; Ross N. Hoffman

1990-12-01T23:59:59.000Z

209

Single-Holed Regions: Their Relations and Inferences  

Science Conference Proceedings (OSTI)

The discontinuities in boundaries and exteriors that regions with holes expose offer opportunities for inferences that are impossible for regions without holes. A systematic study of the binary relations between single-holed regions shows not only an ...

Maria Vasardani; Max J. Egenhofer

2008-09-01T23:59:59.000Z

210

Branch-and-Bound Approach for Parsimonious Inference of a ...  

E-Print Network (OSTI)

Jan 19, 2010 ... Speciation is the fundamental mechanism of genome evolution, especially ...... consider in order to evaluate their performance for phylogenetic inference. ..... Macmu. Human. Pantr. Fig. 4. The species tree for the 29 animals...

211

What and where : a Bayesian inference theory of visual attention  

E-Print Network (OSTI)

In the theoretical framework described in this thesis, attention is part of the inference process that solves the visual recognition problem of what is where. The theory proposes a computational role for attention and leads ...

Chikkerur, Sharat S

2010-01-01T23:59:59.000Z

212

A multiscale framework for Bayesian inference in elliptic problems  

E-Print Network (OSTI)

The Bayesian approach to inference problems provides a systematic way of updating prior knowledge with data. A likelihood function involving a forward model of the problem is used to incorporate data into a posterior ...

Parno, Matthew David

2011-01-01T23:59:59.000Z

213

Declarative Modeling and Bayesian Inference of Dark Matter Halos  

E-Print Network (OSTI)

Probabilistic programming allows specification of probabilistic models in a declarative manner. Recently, several new software systems and languages for probabilistic programming have been developed on the basis of newly developed and improved methods for approximate inference in probabilistic models. In this contribution a probabilistic model for an idealized dark matter localization problem is described. We first derive the probabilistic model for the inference of dark matter locations and masses, and then show how this model can be implemented using BUGS and Infer.NET, two software systems for probabilistic programming. Finally, the different capabilities of both systems are discussed. The presented dark matter model includes mainly non-conjugate factors, thus, it is difficult to implement this model with Infer.NET.

Kronberger, Gabriel

2013-01-01T23:59:59.000Z

214

Inferring Surface Solar Absorption from Broadband Satellite Measurements  

Science Conference Proceedings (OSTI)

An atmospheric solar radiation model, in conjunction with a variety of surface albedo models, has been employed to address several issues related to inferring the surface solar radiation budget from satellite measurements. With reference to ...

Robert D. Cess; Inna L. Vulis

1989-09-01T23:59:59.000Z

215

Principle and Uncertainty Quantification of an Experiment Designed to Infer Actinide Neutron Capture Cross-Sections  

Science Conference Proceedings (OSTI)

An integral reactor physics experiment devoted to infer higher actinide (Am, Cm, Bk, Cf) neutron cross sections will take place in the US. This report presents the principle of the planned experiment as well as a first exercise aiming at quantifying the uncertainties related to the inferred quantities. It has been funded in part by the DOE Office of Science in the framework of the Recovery Act and has been given the name MANTRA for Measurement of Actinides Neutron TRAnsmutation. The principle is to irradiate different pure actinide samples in a test reactor like INLs Advanced Test Reactor, and, after a given time, determine the amount of the different transmutation products. The precise characterization of the nuclide densities before and after neutron irradiation allows the energy integrated neutron cross-sections to be inferred since the relation between the two are the well-known neutron-induced transmutation equations. This approach has been used in the past and the principal novelty of this experiment is that the atom densities of the different transmutation products will be determined with the Accelerator Mass Spectroscopy (AMS) facility located at ANL. While AMS facilities traditionally have been limited to the assay of low-to-medium atomic mass materials, i.e., A 200. The detection limit of AMS being orders of magnitude lower than that of standard mass spectroscopy techniques, more transmutation products could be measured and, potentially, more cross-sections could be inferred from the irradiation of a single sample. Furthermore, measurements will be carried out at the INL using more standard methods in order to have another set of totally uncorrelated information.

G. Youinou; G. Palmiotti; M. Salvatorre; G. Imel; R. Pardo; F. Kondev; M. Paul

2010-01-01T23:59:59.000Z

216

FY 2008 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

217

FY 2006 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

218

FY 2010 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

219

FY 2012 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2Statistical Table by Appropriation 2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

220

FY 2007 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

statistical | OpenEI  

Open Energy Info (EERE)

statistical statistical Dataset Summary Description No description given. Source World Bank Date Released Unknown Date Updated Unknown Keywords coal energy imports energy production energy use fossil fuels Fuel global Hydroelectric international nuclear oil renewables statistical statistics world bank Data application/zip icon Data in XML Format (zip, 1 MiB) application/zip icon Data in Excel Format (zip, 1.3 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1970 - 2007 License License Other or unspecified, see optional comment below Comment Summary of Usage Terms ---------------------- You are free to copy, distribute, adapt, display or include the data in other products for commercial and noncommercial purposes at no cost subject to certain limitations summarized below. You must include attribution for the data you use in the manner indicated in the metadata included with the data. You must not claim or imply that The World Bank endorses your use of the data by or use The World Bank's logo(s) or trademark(s) in conjunction with such use. Other parties may have ownership interests in some of the materials contained on The World Bank Web site. For example, we maintain a list of some specific data within the Datasets that you may not redistribute or reuse without first contacting the original content provider, as well as information regarding how to contact the original content provider. Before incorporating any data in other products, please check the list: Terms of use: Restricted Data. The World Bank makes no warranties with respect to the data and you agree The World Bank shall not be liable to you in connection with your use of the data. Links ----- Summary of Terms: http://data.worldbank.org/summary-terms-of-use Detailed Usage Terms: http://www.worldbank.org/terms-datasets

222

Statistical Alignment Models for . . .  

E-Print Network (OSTI)

The ever-increasing amount of parallel data opens a rich resource to multilingual natural language processing, enabling models to work on various translational aspects like detailed human annotations, syntax and semantics. With efficient statistical models, many cross-language applications have seen significant progresses in recent years, such as statistical machine trans-lation, speech-to-speech translation, cross-lingual information retrieval and bilingual lexicog-raphy. However, the current state-of-the-art statistical translation models rely heavily on the word-level mixture models a bottleneck, which fails to represent the rich varieties and depen-dencies in translations. In contrast to word-based translations, phrase-based models are more robust in capturing various translation phenomena than the word-level (e.g., local word reordering), and less susceptive to the errors from preprocessing such as word segmentations and tok-enizations. Leveraging phrase level knowledge in translation models is challenging yet reward-ing: it also brings significant improvements on translation qualities. Above the phrase-level are

Bing Zhao

2007-01-01T23:59:59.000Z

223

Key China Energy Statistics 2011  

E-Print Network (OSTI)

statistics. The China Sustainable Energy Program of theand the Energy Foundation Sustainable Energy Program with

Levine, Mark

2013-01-01T23:59:59.000Z

224

Experimental Mathematics and Computational Statistics  

SciTech Connect

The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

Bailey, David H.; Borwein, Jonathan M.

2009-04-30T23:59:59.000Z

225

A Statistical Framework for Microbial Source Attribution  

SciTech Connect

This report presents a general approach to inferring transmission and source relationships among microbial isolates from their genetic sequences. The outbreak transmission graph (also called the transmission tree or transmission network) is the fundamental structure which determines the statistical distributions relevant to source attribution. The nodes of this graph are infected individuals or aggregated sub-populations of individuals in which transmitted bacteria or viruses undergo clonal expansion, leading to a genetically heterogeneous population. Each edge of the graph represents a transmission event in which one or a small number of bacteria or virions infects another node thus increasing the size of the transmission network. Recombination and re-assortment events originate in nodes which are common to two distinct networks. In order to calculate the probability that one node was infected by another, given the observed genetic sequences of microbial isolates sampled from them, we require two fundamental probability distributions. The first is the probability of obtaining the observed mutational differences between two isolates given that they are separated by M steps in a transmission network. The second is the probability that two nodes sampled randomly from an outbreak transmission network are separated by M transmission events. We show how these distributions can be obtained from the genetic sequences of isolates obtained by sampling from past outbreaks combined with data from contact tracing studies. Realistic examples are drawn from the SARS outbreak of 2003, the FMDV outbreak in Great Britain in 2001, and HIV transmission cases. The likelihood estimators derived in this report, and the underlying probability distribution functions required to calculate them possess certain compelling general properties in the context of microbial forensics. These include the ability to quantify the significance of a sequence 'match' or 'mismatch' between two isolates; the ability to capture non-intuitive effects of network structure on inferential power, including the 'small world' effect; the insensitivity of inferences to uncertainties in the underlying distributions; and the concept of rescaling, i.e. ability to collapse sub-networks into single nodes and examine transmission inferences on the rescaled network.

Velsko, S P; Allen, J E; Cunningham, C T

2009-04-28T23:59:59.000Z

226

General Circulation Statistics on Short Time Scales  

Science Conference Proceedings (OSTI)

The sensitivity of various zonal mean general circulation statistics to the choice of the averaging period used to define them is tested with upper-air data for the Northern Hemisphere taken from the NMC global analysis for the winter of 197677. ...

Richard D. Rosen; David A. Salstein

1982-07-01T23:59:59.000Z

227

statistics | OpenEI  

Open Energy Info (EERE)

12 12 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278812 Varnish cache server statistics Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density

228

Statistical physics ""Beyond equilibrium  

Science Conference Proceedings (OSTI)

The scientific challenges of the 21st century will increasingly involve competing interactions, geometric frustration, spatial and temporal intrinsic inhomogeneity, nanoscale structures, and interactions spanning many scales. We will focus on a broad class of emerging problems that will require new tools in non-equilibrium statistical physics and that will find application in new material functionality, in predicting complex spatial dynamics, and in understanding novel states of matter. Our work will encompass materials under extreme conditions involving elastic/plastic deformation, competing interactions, intrinsic inhomogeneity, frustration in condensed matter systems, scaling phenomena in disordered materials from glasses to granular matter, quantum chemistry applied to nano-scale materials, soft-matter materials, and spatio-temporal properties of both ordinary and complex fluids.

Ecke, Robert E [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

229

A statistical mechanical curiosity  

E-Print Network (OSTI)

Unlike most other laws of nature, the second law of thermodynamics is according to Boltzmann statistical in nature, meaning that its reliability arises from the vast number of particles present in macroscopic systems. This means that such systems will lead towards their most likely state, that is, the one with the most homogeneous probability distribution. But Boltzmann states that entropy decreasing processes can occur (without doing any work), it is just very improbable. It is therefore not impossible, in principle, for all 6 x 10^23 atoms in a mole of a gas to spontaneously move to one half of a container; it is only fantastically unlikely. A similar idea has been applied on a human cell. All somatic cells seem to age and deteriorate in unfavorable conditions. If the aging process is defined as the accumulation of dysfunctional polymers resulting from among other things chemical bond breakage, where polymers aggregate into harmful arrangements, spreading randomly out in the cell, leading to an altered function, then it also applies that there will be a difference in entropy between an individual of, say, 20 years, and the same individual 80 years old. The goal of this article is to demonstrate that the second law does not tell us that the cell necessarily must go toward a high entropy state and stay that way, but that it is possible according to statistical mechanics for an old cell to experience a return to a younger state. We find the probability of this spontaneous return to a more ordered state to be expressed by P = 10^(-202)^(-889). In spite of this number, it does show that a reversal of the aging process is not prohibited by nature. There is a theoretical possibility of rejuvenation. Whether this will ever become a practical reality is another matter.

Ian von Hegner

2012-12-05T23:59:59.000Z

230

Growth History Of Kilauea Inferred From Volatile Concentrations In  

Open Energy Info (EERE)

History Of Kilauea Inferred From Volatile Concentrations In History Of Kilauea Inferred From Volatile Concentrations In Submarine-Collected Basalts Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Growth History Of Kilauea Inferred From Volatile Concentrations In Submarine-Collected Basalts Details Activities (4) Areas (2) Regions (0) Abstract: Major-element and volatile (H2O, CO2, S) compositions of glasses from the submarine flanks of Kilauea Volcano record its growth from pre-shield into tholeiite shield-stage. Pillow lavas of mildly alkalic basalt at 2600-1900 mbsl on the upper slope of the south flank are an intermediate link between deeper alkalic volcaniclastics and the modern tholeiite shield. Lava clast glasses from the west flank of Papau Seamount are subaerial Mauna Loa-like tholeiite and mark the contact between the two

231

Active Fault Segments As Potential Earthquake Sources- Inferences From  

Open Energy Info (EERE)

Active Fault Segments As Potential Earthquake Sources- Inferences From Active Fault Segments As Potential Earthquake Sources- Inferences From Integrated Geophysical Mapping Of The Magadi Fault System, Southern Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Active Fault Segments As Potential Earthquake Sources- Inferences From Integrated Geophysical Mapping Of The Magadi Fault System, Southern Kenya Rift Details Activities (0) Areas (0) Regions (0) Abstract: Southern Kenya Rift has been known as a region of high geodynamic activity expressed by recent volcanism, geothermal activity and high rate of seismicity. The active faults that host these activities have not been investigated to determine their subsurface geometry, faulting intensity and constituents (fluids, sediments) for proper characterization of tectonic

232

Bayesian inference of solar and stellar magnetic fields in the weak-field approximation  

E-Print Network (OSTI)

The weak-field approximation is one of the simplest models that allows us to relate the observed polarization induced by the Zeeman effect with the magnetic field vector present on the plasma of interest. It is usually applied for diagnosing magnetic fields in the solar and stellar atmospheres. A fully Bayesian approach to the inference of magnetic properties in unresolved structures is presented. The analytical expression for the marginal posterior distribution is obtained, from which we can obtain statistically relevant information about the model parameters. The role of a-priori information is discussed and a hierarchical procedure is presented that gives robust results that are almost insensitive to the precise election of the prior. The strength of the formalism is demonstrated through an application to IMaX data. Bayesian methods can optimally exploit data from filter-polarimeters given the scarcity of spectral information as compared with spectro-polarimeters. The effect of noise and how it degrades ou...

Ramos, A Asensio

2011-01-01T23:59:59.000Z

233

A Statistical Method for Estimating Luminosity Functions using Truncated Data  

E-Print Network (OSTI)

The observational limitations of astronomical surveys lead to significant statistical inference challenges. One such challenge is the estimation of luminosity functions given redshift $z$ and absolute magnitude $M$ measurements from an irregularly truncated sample of objects. This is a bivariate density estimation problem; we develop here a statistically rigorous method which (1) does not assume a strict parametric form for the bivariate density; (2) does not assume independence between redshift and absolute magnitude (and hence allows evolution of the luminosity function with redshift); (3) does not require dividing the data into arbitrary bins; and (4) naturally incorporates a varying selection function. We accomplish this by decomposing the bivariate density into nonparametric and parametric portions. There is a simple way of estimating the integrated mean squared error of the estimator; smoothing parameters are selected to minimize this quantity. Results are presented from the analysis of a sample of quasars.

Chad M. Schafer

2007-02-15T23:59:59.000Z

234

Ideas By Statistical Mechanics (ISM)  

Science Conference Proceedings (OSTI)

Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics ... Keywords: neocortical interactions, risk management, simulated annealing, statistical mechanics

Lester Ingber

2007-08-01T23:59:59.000Z

235

Energy Scaling Laws for Distributed Inference in Random Networks  

E-Print Network (OSTI)

The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed according to a general spatial distribution in an expanding region. Among the class of data fusion schemes that enable optimal inference at the fusion center for Markov random field hypotheses, the minimum per-sensor energy cost is bounded below by a minimum spanning tree data fusion and above by a suboptimal scheme referred to as Data Fusion for Markov Random Field (DFMRF). Scaling laws are derived for the optimal and suboptimal fusion policies.

Animashree Anandkumar; Joseph E. Yukich; Lang Tong; Ananthram Swami

2008-01-01T23:59:59.000Z

236

International petroleum statistics report  

SciTech Connect

The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

NONE

1997-07-01T23:59:59.000Z

237

International petroleum statistics report  

SciTech Connect

The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

NONE

1996-05-01T23:59:59.000Z

238

and Price Statistics  

E-Print Network (OSTI)

This report is part of an annual series that presents current and historical information on the production, trade, consumption, and prices of timber products in the United States. The report focuses on national statistics, but includes some data for individual States and regions and for Canada. The data were collected from industry trade associations and government agencies. They are intended for use by forest land managers, forest industries, trade associations, forestry schools, renewable resource organizations, libraries, organizations, individuals in the major timber producing and consuming countries of the world, and the general public. A major use of the data presented here is tracking technological change over time. One of the major technology shifts occurring in the wood-using industry is the substitution of oriented strandboard (OSB) for plywood in the structural panel sector, as well as a shift in plywood production from the west to the south United States. Some data show these shifts. United States production of structural panels totaled 29.4 billion ft in 1999. Production of OSB increased from less than 3 billion ft in 1985 to 11.6 billion ft in 1999. Plywood production was 20.1 billion ft in 1985 before falling to 17.8 billion ft in 1999. The decline in plywood production reflects the continued increase in the OSB share of the traditional plywood market

United States; Forest Service; James L. Howard Abstract

2001-01-01T23:59:59.000Z

239

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Total Primary Energy Consumption (Quadrillion Btu) Loading ...

240

Bayesian Analysis of Step-Stress Accelerated Life Test with Exponential Distribution  

DOE Green Energy (OSTI)

In this article, we propose a general Bayesian inference approach to the step-stress accelerated life test with type II censoring. We assume that the failure times at each stress level are exponentially distributed and the test units are tested in an increasing order of stress levels. We formulate the prior distribution of the parameters of life-stress function and integrate the engineering knowledge of product failure rate and acceleration factor into the prior. The posterior distribution and the point estimates for the parameters of interest are provided. Through the Markov chain Monte Carlo technique, we demonstrate a nonconjugate prior case using an industrial example. It is shown that with the Bayesian approach, the statistical precision of parameter estimation is improved and, consequently, the required number of failures could be reduced.

Lee, J.; Pan, R.

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


241

Hybrid Inference for Sensor Network Localization using a Mobile Robot  

E-Print Network (OSTI)

Hybrid Inference for Sensor Network Localization using a Mobile Robot Dimitri Marinakis, CIM, McGill University dmarinak@cim.mcgill.ca David Meger, University of British Columbia dpmeger@cs.ubc.ca Ioannis Rekleitis, Canadian Space Agency yiannis@cim.mcgill.ca Gregory Dudek CIM, McGill University dudek@cim

Dudek, Gregory

242

Inferring the Subduction Rate and Period over the North Atlantic  

Science Conference Proceedings (OSTI)

The annual rate at which mixed-layer fluid is transferred into the permanent thermoclinethat is, the annual subduction rate Sann and the effective subduction period effis inferred from climatological data in the North Atlantic. From its ...

John C. Marshall; Richard G. Williams; A. J. George Nurser

1993-07-01T23:59:59.000Z

243

Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference  

Science Conference Proceedings (OSTI)

Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new advances in phylogeny inference will be required if we are to be able to continue ... Keywords: Computational Biology, Algorithms, Integer Linear Programming, Steiner tree problem, Phylogenetic tree reconstruction, Maximum parsimony

Srinath Sridhar; Fumei Lam; Guy E. Blelloch; R. Ravi; Russell Schwartz

2008-07-01T23:59:59.000Z

244

Discovery of inference rules for question-answering  

Science Conference Proceedings (OSTI)

One of the main challenges in question-answering is the potential mismatch between the expressions in questions and the expressions in texts. While humans appear to use inference rules such as X writes Y implies X is the author of ...

Dekang Lin; Patrick Pantel

2001-12-01T23:59:59.000Z

245

Dynamic heap type inference for program understanding and debugging  

Science Conference Proceedings (OSTI)

C programs can be difficult to debug due to lax type enforcement and low-level access to memory. We present a dynamic analysis for C that checks heap snapshots for consistency with program types. Our approach builds on ideas from physical subtyping and ... Keywords: conservative garbage collection, constraints, debugging tools, dynamic type inference, heap visualization, physical subtyping

Marina Polishchuk; Ben Liblit; Chlo W. Schulze

2007-01-01T23:59:59.000Z

246

Robust likelihood inference for regression parameters in partially linear models  

Science Conference Proceedings (OSTI)

A robust likelihood approach is proposed for inference about regression parameters in partially-linear models. More specifically, normality is adopted as the working model and is properly corrected to accomplish the objective. Knowledge about the true ... Keywords: Generalized additive models, Partially-linear models, Robust likelihood

Chung-Wei Shen; Tsung-Shan Tsou; N. Balakrishnan

2011-04-01T23:59:59.000Z

247

Inferring Optical Depth of Broken Clouds from Landsat Data  

Science Conference Proceedings (OSTI)

Optical depths ?pp for broken, shallow clouds over ocean were inferred from Landsat cloud reflectances Rcld (0.83 ?m) with horizontal resolution of 28.5 m. The values ?pp were obtained by applying an inverse, homogeneous, plane-parallel radiance ...

Howard W. Barker; Damin Liu

1995-11-01T23:59:59.000Z

248

Hm(x) type inference is clp(x) solving  

Science Conference Proceedings (OSTI)

The HM(X) system is a generalization of the Hindley/Milner system parameterized in the constraint domain X. Type inference is performed by generating constraints out of the program text, which are then solved by the domain-specific constraint solver ...

Martin Sulzmann; Peter j. Stuckey

2008-03-01T23:59:59.000Z

249

Angular-momentum nonclassicality by breaking classical bounds on statistics  

SciTech Connect

We derive simple practical procedures revealing the quantum behavior of angular momentum variables by the violation of classical upper bounds on the statistics. Data analysis is minimum and definite conclusions are obtained without evaluation of moments, or any other more sophisticated procedures. These nonclassical tests are very general and independent of other typical quantum signatures of nonclassical behavior such as sub-Poissonian statistics, squeezing, or oscillatory statistics, being insensitive to the nonclassical behavior displayed by other variables.

Luis, Alfredo [Departamento de Optica, Facultad de Ciencias Fisicas, Universidad Complutense, E-28040 Madrid (Spain); Rivas, Angel [Departamento de Fisica Teorica I, Facultad de Ciencias Fisicas, Universidad Complutense, E-28040 Madrid (Spain)

2011-10-15T23:59:59.000Z

250

Physical and Statistical Models in Deformation Geodesy  

E-Print Network (OSTI)

2008), Mississippi Delta subsidence primarily caused bySultan (2009), Land subsidence in the nile delta: inferences2006), Space geodesy: Subsidence and ?ooding in New Orleans,

Lipovsky, Brad

2011-01-01T23:59:59.000Z

251

5. Natural Gas Liquids Statistics  

U.S. Energy Information Administration (EIA)

5. Natural Gas Liquids Statistics Natural Gas Liquids Proved Reserves U.S. natural gas liquids proved reserves decreased 7 percent to 7,459 million ...

252

A Statistically Derived Prediction Procedure for Tropical Storm Formation  

Science Conference Proceedings (OSTI)

A statistical forecasting experiment was performed to test the capability of predictors derived from observational data (analysis) fields at 950, 700, 500 and 200 mb to forecast tropical storm formation (genesis). National Oceanographic and ...

Thomas J. Perrone; Paul R. Lowe

1986-01-01T23:59:59.000Z

253

Passive-Microwave-Enhanced Statistical Hurricane Intensity Prediction Scheme  

Science Conference Proceedings (OSTI)

The formulation and testing of an enhanced Statistical Hurricane Intensity Prediction Scheme (SHIPS) using new predictors derived from passive microwave imagery is presented. Passive microwave imagery is acquired for tropical cyclones in the ...

Thomas A. Jones; Daniel Cecil; Mark DeMaria

2006-08-01T23:59:59.000Z

254

The National Meteorological Center's Spectral Statistical-Interpolation Analysis System  

Science Conference Proceedings (OSTI)

At the National Meteorological Center (NMC), a new analysis system is being extensively tested for possible use in the operational global data assimilation system. This analysis system is called the spectral statistical- interpolation (SSI) ...

David F. Parrish; John C. Derber

1992-08-01T23:59:59.000Z

255

Real-Time Inference of Mental States from Facial Expressions and Upper Body Gestures  

E-Print Network (OSTI)

We present a real-time system for detecting facial action units and inferring emotional states from head and shoulder gestures and facial expressions. The dynamic system uses three levels of inference on progressively ...

Baltrusaitis, Tadas

256

A note on uniform interpolation proofs in modal deep inference calculi  

Science Conference Proceedings (OSTI)

This paper answers one rather particular question: how to perform a proof of uniform interpolation property in deep inference calculi for modal logics. We show how to perform a proof of uniform interpolation property in deep inference calculus for the ...

Marta Blkov

2009-09-01T23:59:59.000Z

257

Analytical inference model for prediction and customization of inter-agent dependency requirements  

Science Conference Proceedings (OSTI)

Inter-agent communication is one of the main concerns of Agent Oriented Requirements Engineering (AORE). The concern is delineated as managing inter-dependencies and interaction among various agents performing collaborative activities. To carry out cooperative ... Keywords: adaptive neuro fuzzy inference system (ANFIS), analytical inference model (AIM), degree of dependency (DoD), mamdani fuzzy inference system (MFIS), multi-agent system (MAS), sugeno fuzzy inference system (SFIS)

Vibha Gaur; Anuja Soni

2012-04-01T23:59:59.000Z

258

Signature-based inference-usability confinement for relational databases under functional and join dependencies  

Science Conference Proceedings (OSTI)

Inference control of queries for relational databases confines the information content and thus the usability of data returned to a client, aiming to keep some pieces of information confidential as specified in a policy, in particular for the sake of ... Keywords: SQL, a priori knowledge, confidentiality policy, functional dependency, inference control, inference signature, inference-usability confinement, interaction history, join dependency, refusal, relational database, select-project query, template dependency

Joachim Biskup; Sven Hartmann; Sebastian Link; Jan-Hendrik Lochner; Torsten Schlotmann

2012-07-01T23:59:59.000Z

259

Bayesian Network Inference with Qualitative Expert Knowledge for Decision Support Systems  

Science Conference Proceedings (OSTI)

In this paper, we consider a methodology that utilizes qualitative expert knowledge for inference in a Bayesian network. The decision-making assumptions and the mathematical equation for Bayesian inference are derived based on data and knowledge obtained ... Keywords: Bayesian network, Bayesian network inference, decision-support systems, qualitative expert knowledge, probability inequality constraints Bayesian network, Bayesian network inference, decision-support systems, qualitative expert knowledge, probability inequ

Nipat Jongsawat; Wichian Premchaiswadi

2010-06-01T23:59:59.000Z

260

Application of Learning Fuzzy Inference Systems in Electricity Load Forecast  

E-Print Network (OSTI)

This paper highlights the results and applied techniques for the electricity load forecast competition organised by the European Network on Intelligent Technologies for Smart Adaptive Systems (www.eunite.org). The electricity load forecast problem is tackled in two di#erent stages by creating two di#erent models. The first model will predict the temperature and the second model uses the predicted temperature to forecast the maximum electricity load. For both model, learning fuzzy inference systems are applied. Initial fuzzy rules are generated and then the numerical data provided by Eastern Slovakian Electricity Corporation are used to learn the parameters of the learning fuzzy inference systems. The learning technique is applied for both temperature and load forecast.

Ahamd Lotfi

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Bayesian Inference with Adaptive Fuzzy Priors and Likelihoods  

E-Print Network (OSTI)

AbstractFuzzy rule-based systems can approximate prior and likelihood probabilities in Bayesian inference and thereby approximate posterior probabilities. This fuzzy approximation technique allows users to apply a much wider and more flexible range of prior and likelihood probability density functions than found in most Bayesian inference schemes. The technique does not restrict the user to the few known closed-form conjugacy relations between the prior and likelihood. It allows the user in many cases to describe the densities with words. And just two rules can absorb any bounded closed-form probability density directly into the rulebase. Learning algorithms can tune the expert rules as well as grow them from sample data. The learning laws and fuzzy approximators have a tractable form because of the convex-sum structure of additive fuzzy systems. This convex-sum structure carries over to the fuzzy posterior

Osonde Osoba; Sanya Mitaim; Bart Kosko

2011-01-01T23:59:59.000Z

262

Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning  

E-Print Network (OSTI)

This paper modifies Jaynes's axioms of plausible reasoning and derives the minimum relative entropy principle as well as Bayes's rule from first principles. The new axioms, which I call the Optimum Information Principle, is applicable whenever the decision maker is given the data and the relevant background information. Given that the maximum entropy principle and Bayesian inference are useful methods, the Optimum Information Principle is at least as useful.

Toda, Alexis Akira

2011-01-01T23:59:59.000Z

263

A Tutorial on Time-Evolving Dynamical Bayesian Inference  

E-Print Network (OSTI)

We present a tutorial for Bayesian inference of time-evolving coupled systems in the presence of noise. It includes the necessary theoretical description and the algorithms for its implementation. For general programming purposes, a pseudocode description is given. Examples based on coupled phase and limit-cycle oscillators illustrate the most important features. Codes written in MatLab for the method and the examples accompany the tutorial.

Stankovski, Tomislav; McClintock, Peter V E; Stefanovska, Aneta

2013-01-01T23:59:59.000Z

264

A Tutorial on Time-Evolving Dynamical Bayesian Inference  

E-Print Network (OSTI)

We present a tutorial for Bayesian inference of time-evolving coupled systems in the presence of noise. It includes the necessary theoretical description and the algorithms for its implementation. For general programming purposes, a pseudocode description is given. Examples based on coupled phase and limit-cycle oscillators illustrate the most important features. Codes written in MatLab for the method and the examples accompany the tutorial.

Tomislav Stankovski; Andrea Duggento; Peter V. E. McClintock; Aneta Stefanovska

2013-04-30T23:59:59.000Z

265

A self-adapting fuzzy inference system for the evaluation of agricultural land  

Science Conference Proceedings (OSTI)

The inference rules relating land characteristics to suitability class are crucial to the estimation of agricultural land suitability. In fuzzy logic modeling for agricultural land evaluation, the fuzzy inference, based on membership functions and rule ... Keywords: Agricultural land evaluation, Cross-validation, Fuzzy inference system, Genetic algorithm, Self-adapting

Yaolin Liu; Limin Jiao; Yanfang Liu; Jianhua He

2013-02-01T23:59:59.000Z

266

Stochastic local search for large-scale instances of the haplotype inference problem by pure parsimony  

Science Conference Proceedings (OSTI)

Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This information allows researchers to perform association studies for the genetic ... Keywords: Bioinformatics, Haplotype inference, Metaheuristics

Luca Di Gaspero; Andrea Roli

2008-01-01T23:59:59.000Z

267

Test Automation Test Automation  

E-Print Network (OSTI)

Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation #12;Test Automation Outline Test Automation Mousavi: Test Automation #12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs

Mousavi, Mohammad

268

Evidence cross-validation and Bayesian inference of MAST plasma equilibria  

SciTech Connect

In this paper, current profiles for plasma discharges on the mega-ampere spherical tokamak are directly calculated from pickup coil, flux loop, and motional-Stark effect observations via methods based in the statistical theory of Bayesian analysis. By representing toroidal plasma current as a series of axisymmetric current beams with rectangular cross-section and inferring the current for each one of these beams, flux-surface geometry and q-profiles are subsequently calculated by elementary application of Biot-Savart's law. The use of this plasma model in the context of Bayesian analysis was pioneered by Svensson and Werner on the joint-European tokamak [Svensson and Werner,Plasma Phys. Controlled Fusion 50(8), 085002 (2008)]. In this framework, linear forward models are used to generate diagnostic predictions, and the probability distribution for the currents in the collection of plasma beams was subsequently calculated directly via application of Bayes' formula. In this work, we introduce a new diagnostic technique to identify and remove outlier observations associated with diagnostics falling out of calibration or suffering from an unidentified malfunction. These modifications enable a good agreement between Bayesian inference of the last-closed flux-surface with other corroborating data, such as that from force balance considerations using EFIT++[Appel et al., ''A unified approach to equilibrium reconstruction'' Proceedings of the 33rd EPS Conference on Plasma Physics (Rome, Italy, 2006)]. In addition, this analysis also yields errors on the plasma current profile and flux-surface geometry as well as directly predicting the Shafranov shift of the plasma core.

Nessi, G. T. von; Hole, M. J. [Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200 (Australia); Svensson, J. [Max-Planck-Institut fuer Plasmaphysik, D-17491 Greifswald (Germany); Appel, L. [EURATOM/CCFE Fusion Association, Culham Science Centre, Abingdon, Oxon OX14 3DB (United Kingdom)

2012-01-15T23:59:59.000Z

269

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Total Non-Hydro Renewable Electricity Net Generation ...

270

Mathematics, Statistics and Computational Science at NIST  

Science Conference Proceedings (OSTI)

Math, Statistics, and Computational Science. ... at NIST related to applied mathematics, statistics, and ... NIST/SEMATECH Handbook, NIST/SEMATECH ...

2012-11-06T23:59:59.000Z

271

12.864 Inference from Data and Models, Spring 2004  

E-Print Network (OSTI)

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, ...

Wunsch, Carl

272

12.864 Inference from Data and Models, Spring 2003  

E-Print Network (OSTI)

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, ...

Wunsch, Carl

273

STATISTICAL MECHANICS AND FIELD THEORY  

E-Print Network (OSTI)

1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of

Samuel, S.A.

2010-01-01T23:59:59.000Z

274

Statistical Modeling in Nonlinear Systems  

Science Conference Proceedings (OSTI)

The use of linear statistical methods in building climate prediction models is examined, particularly the use of anomalies. The authors perspective is that the climate system is a nonlinear interacting system, so the impact of modeling using ...

Edward P. Campbell

2005-08-01T23:59:59.000Z

275

Statistical Predictability of Decaying Turbulence  

Science Conference Proceedings (OSTI)

We use statistical models of turbulence with eddy damping (EDQNM) in order to study the problem of predictability of freely evolving two- and three-dimensional isotropic turbulent flows.

Olivier Mtais; Marcel Lesieur

1986-05-01T23:59:59.000Z

276

Key China Energy Statistics 2011  

NLE Websites -- All DOE Office Websites (Extended Search)

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

277

Key China Energy Statistics 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

278

statistics | OpenEI Community  

Open Energy Info (EERE)

Submitted by Rmckeel(287) Contributor 8 November, 2012 - 13:58 OpenEI dashboard Google Analytics mediawiki OpenEI statistics wiki OpenEI web traffic from Bangalore, India...

279

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Jordan ...

280

Automatic Bayesian inference for LISA data analysis strategies  

E-Print Network (OSTI)

We demonstrate the use of automatic Bayesian inference for the analysis of LISA data sets. In particular we describe a new automatic Reversible Jump Markov Chain Monte Carlo method to evaluate the posterior probability density functions of the a priori unknown number of parameters that describe the gravitational wave signals present in the data. We apply the algorithm to a simulated LISA data set containing overlapping signals from white dwarf binary systems (DWD) and to a separate data set containing a signal from an extreme mass ratio inspiral (EMRI). We demonstrate that the approach works well in both cases and can be regarded as a viable approach to tackle LISA data analysis challenges.

Alexander Stroeer; Jonathan Gair; Alberto Vecchio

2006-09-04T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Statistical analysis of composite spectra  

SciTech Connect

We consider nearest-neighbor spacing distributions of composite ensembles of levels. These are obtained by combining independently unfolded sequences of levels containing only few levels each. Two problems arise in the spectral analysis of such data. One problem lies in fitting the nearest-neighbor spacing distribution to the histogram of level spacings obtained from the data. We show that the method of Bayesian inference is superior to this procedure. The second problem occurs when one unfolds such short sequences. We show that the unfolding procedure generically leads to an overestimate of the chaoticity parameter. This trend is absent in the presence of long-range level correlations. Thus, composite ensembles of levels from a system with long-range spectral stiffness yield reliable information about the chaotic behavior of the system.

Abul-Magd, A.Y. [Faculty of Science, Zagazig University, Zagazig (Egypt); Harney, H.L. [Max-Planck-Institut fuer Kernphysik, Heidelberg (Germany)]. E-mail: harney@mpi-hd.mpg.de; Simbel, M.H. [Faculty of Science, Zagazig University, Zagazig (Egypt); Weidenmueller, H.A. [Max-Planck-Institut fuer Kernphysik, Heidelberg (Germany)

2006-03-15T23:59:59.000Z

282

Bayesian Inference from Observations of Solar-Like Oscillations  

E-Print Network (OSTI)

Stellar oscillations can provide a wealth of information about a star, which can be extracted from observed time series of the star's brightness or radial velocity. In this paper we address the question of how to extract as much information as possible from such a dataset. We have developed a Markov Chain Monte Carlo (MCMC) code that is able to infer the number of oscillation frequencies present in the signal and their values (with corresponding uncertainties), without having to fit the amplitudes and phases. Gaps in the data do not have any serious consequences for this method; in cases where severe aliasing exists, any ambiguity in the frequency determinations will be reflected in the results. It also allows us to infer parameters of the frequency pattern, such as the large separation Delta nu. We have previously applied this method to the star nu Indi (Bedding et al 2006), and here we describe the method fully and apply it to simulated datasets, showing that the code is able to give correct results even when some of the model assumptions are violated. In particular, the non-sinusoidal nature of the individual oscillation modes due to stochastic excitation and damping has no major impact on the usefulness of our approach.

Brendon J. Brewer; Timothy R. Bedding; Hans Kjeldsen; Dennis Stello

2006-08-26T23:59:59.000Z

283

Significance Tests in Climate Science  

Science Conference Proceedings (OSTI)

A large fraction of papers in the climate literature includes erroneous uses of significance tests. A Bayesian analysis is presented to highlight the meaning of significance tests and why typical misuse occurs. The significance statistic is not a ...

Maarten H. P. Ambaum

2010-11-01T23:59:59.000Z

284

Spectral energy distribution modelling of Southern candidate massive protostars using the Bayesian inference method  

E-Print Network (OSTI)

Concatenating data from the millimetre regime to the infrared, we have performed spectral energy distribution modelling for 227 of the 405 millimetre continuum sources of Hill et al. (2005) which are thought to contain young massive stars in the earliest stages of their formation. Three main parameters are extracted from the fits: temperature, mass and luminosity. The method employed was Bayesian inference, which allows a statistically probable range of suitable values for each parameter to be drawn for each individual protostellar candidate. This is the first application of this method to massive star formation. The cumulative distribution plots of the SED modelled parameters in this work indicate that collectively, the sources without methanol maser and/or radio continuum associations (MM-only cores) display similar characteristics to those of high mass star formation regions. Attributing significance to the marginal distinctions between the MM-only cores and the high-mass star formation sample we draw hypotheses regarding the nature of the MM-only cores, including the possibility that the population itself is comprised of different types of source, and discuss their role in the formation scenarios of massive star formation. In addition, we discuss the usefulness and limitations of SED modelling and its application to the field. From this work, it is clear that within the valid parameter ranges, SEDs utilising current far-infrared data can not be used to determine the evolution of massive protostars or massive young stellar objects.

T. Hill; C. Pinte; V. Minier; M. G. Burton; M. R. Cunningham

2008-10-17T23:59:59.000Z

285

Bayes in the sky: Bayesian inference and model selection in cosmology  

E-Print Network (OSTI)

The application of Bayesian methods in cosmology and astrophysics has flourished over the past decade, spurred by data sets of increasing size and complexity. In many respects, Bayesian methods have proven to be vastly superior to more traditional statistical tools, offering the advantage of higher efficiency and of a consistent conceptual basis for dealing with the problem of induction in the presence of uncertainty. This trend is likely to continue in the future, when the way we collect, manipulate and analyse observations and compare them with theoretical models will assume an even more central role in cosmology. This review is an introduction to Bayesian methods in cosmology and astrophysics and recent results in the field. I first present Bayesian probability theory and its conceptual underpinnings, Bayes' Theorem and the role of priors. I discuss the problem of parameter inference and its general solution, along with numerical techniques such as Monte Carlo Markov Chain methods. I then review the theory and application of Bayesian model comparison, discussing the notions of Bayesian evidence and effective model complexity, and how to compute and interpret those quantities. Recent developments in cosmological parameter extraction and Bayesian cosmological model building are summarized, highlighting the challenges that lie ahead.

Roberto Trotta

2008-03-28T23:59:59.000Z

286

BAYESIAN INFERENCE OF SOLAR AND STELLAR MAGNETIC FIELDS IN THE WEAK-FIELD APPROXIMATION  

SciTech Connect

The weak-field approximation is one of the simplest models that allows us to relate the observed polarization induced by the Zeeman effect with the magnetic field vector present on the plasma of interest. It is usually applied for diagnosing magnetic fields in the solar and stellar atmospheres. A fully Bayesian approach to the inference of magnetic properties in unresolved structures is presented. The analytical expression for the marginal posterior distribution is obtained, from which we can obtain statistically relevant information about the model parameters. The role of a priori information is discussed and a hierarchical procedure is presented that gives robust results that are almost insensitive to the precise election of the prior. The strength of the formalism is demonstrated through an application to IMaX data. Bayesian methods can optimally exploit data from filter polarimeters given the scarcity of spectral information as compared with spectro-polarimeters. The effect of noise and how it degrades our ability to extract information from the Stokes profiles is analyzed in detail.

Asensio Ramos, A., E-mail: aasensio@iac.es [Instituto de Astrofisica de Canarias, 38205, La Laguna, Tenerife (Spain); Departamento de Astrofisica, Universidad de La Laguna, E-38205 La Laguna, Tenerife (Spain)

2011-04-10T23:59:59.000Z

287

An Objective Method for Inferring Sources of Model Error  

Science Conference Proceedings (OSTI)

A restricted statistical correction (RSC) approach is introduced to assess the sources of error in general circulation models (GCMs). RSC models short-term forecast error by considering linear transformations of the GCM's forcing terms, which ...

Siegfried Schubert; Yehui Chang

1996-02-01T23:59:59.000Z

288

WaveMean Flow Statistics  

Science Conference Proceedings (OSTI)

A relation between the statistics of large-scale waves and the mean flow is derived from the potential enstrophy equations integrated over an isobaric surface. The difference between time-averaged zonal-mean state and the radiative-dynamical ...

Mark R. Schoeberl

1982-10-01T23:59:59.000Z

289

Statistics: The Compass for Navigating  

E-Print Network (OSTI)

/deluge/avalanche of data #12;Demand 2011 McKinsey Global Institute report: Big data: The next frontier for innovation expertise in statistics and data mining. . . a talent gap of 140K - 190K positions in 2018 (in the US)" http://www.mckinsey

Davidian, Marie

290

Fingerprint verification using statistical descriptors  

Science Conference Proceedings (OSTI)

The importance of high precision matching in fingerprint cannot be over-emphasized. This paper presents a novel fingerprint verification algorithm which improves matching accuracy by overcoming the shortcomings of poor image quality. The proposed method ... Keywords: Biometrics, Fingerprint, Reliability, Singular point, Statistical analysis

Mohammed S. Khalil; Dzulkifli Mohamad; Muhammad Khurram Khan; Qais Al-Nuzaili

2010-07-01T23:59:59.000Z

291

Median statistics cosmological parameter values  

E-Print Network (OSTI)

We present median statistics central values and ranges for 12 cosmological parameters, using 582 measurements (published during 1990-2010) collected by Croft & Dailey (2011). On comparing to the recent Planck collaboration Ade et al. 2013 estimates of 11 of these parameters, we find good consistency in nine cases.

Crandall, Sara

2013-01-01T23:59:59.000Z

292

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 165.6 120.4 124.9 133.1 ...

293

VTPI-Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

VTPI-Transportation Statistics Jump to: navigation, search Name VTPI-Transportation Statistics AgencyCompany Organization Victoria Transportation Policy Institute Focus Area...

294

Workforce Statistics - NNSA | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Statistics - NNSA Workforce Statistics - NNSA NNSA FY13 NNSA Semi Annual Workforce Diversity Report NNSA-Wide Year End Workforce Diversity Report FY12 NNSA Semi Annual Workforce...

295

MATH 496: Computational Biology ? Algebraic Statistical ... - CECM  

E-Print Network (OSTI)

MATH 496: Computational Biology ? Algebraic Statistical Model. 4. Log-linear Algebraic statistical Model : Part A: Introduction. 1. Definition: Let A = ( ) be a...

296

Optimal generalized truncated sequential Monte Carlo test  

Science Conference Proceedings (OSTI)

When it is not possible to obtain the analytical null distribution of a test statistic U, Monte Carlo hypothesis tests can be used to perform the test. Monte Carlo tests are commonly used in a wide variety of applications, including spatial statistics, ... Keywords: 62L05, 62L15, 65C05, Execution time, Power loss, Resampling risk, p-value density

Ivair R. Silva, Renato M. Assuno

2013-10-01T23:59:59.000Z

297

Inferring query performance using pre-retrieval predictors  

E-Print Network (OSTI)

Abstract. The prediction of query performance is an interesting and important issue in Information Retrieval (IR). Current predictors involve the use of relevance scores, which are time-consuming to compute. Therefore, current predictors are not very suitable for practical applications. In this paper, we study a set of predictors of query performance, which can be generated prior to the retrieval process. The linear and non-parametric correlations of the predictors with query performance are thoroughly assessed on the TREC disk4 and disk5 (minus CR) collections. According to the results, some of the proposed predictors have significant correlation with query performance, showing that these predictors can be useful to infer query performance in practical applications. 1

Ben He; Iadh Ounis

2004-01-01T23:59:59.000Z

298

Inferring Group Processes from Computer-Mediated Affective Text Analysis  

SciTech Connect

Political communications in the form of unstructured text convey rich connotative meaning that can reveal underlying group social processes. Previous research has focused on sentiment analysis at the document level, but we extend this analysis to sub-document levels through a detailed analysis of affective relationships between entities extracted from a document. Instead of pure sentiment analysis, which is just positive or negative, we explore nuances of affective meaning in 22 affect categories. Our affect propagation algorithm automatically calculates and displays extracted affective relationships among entities in graphical form in our prototype (TEAMSTER), starting with seed lists of affect terms. Several useful metrics are defined to infer underlying group processes by aggregating affective relationships discovered in a text. Our approach has been validated with annotated documents from the MPQA corpus, achieving a performance gain of 74% over comparable random guessers.

Schryver, Jack C [ORNL; Begoli, Edmon [ORNL; Jose, Ajith [Missouri University of Science and Technology; Griffin, Christopher [Pennsylvania State University

2011-02-01T23:59:59.000Z

299

Refining Event Extraction Through Cross-document Inference  

E-Print Network (OSTI)

We apply the hypothesis of One Sense Per Discourse (Yarowsky, 1995) to information extraction (IE), and extend the scope of discourse from one single document to a cluster of topically-related documents. We employ a similar approach to propagate consistent event arguments across sentences and documents. Combining global evidence from related documents with local decisions, we design a simple scheme to conduct cross-document inference for improving the ACE event extraction task 1. Without using any additional labeled data this new approach obtained 7.6% higher F-Measure in trigger labeling and 6% higher F-Measure in argument labeling over a state-of-the-art IE system which extracts events independently for each sentence. 1

Heng Ji; Ralph Grishman

2008-01-01T23:59:59.000Z

300

Bayesian Inference of Natural Rankings in Incomplete Competition Networks  

E-Print Network (OSTI)

Competition between a complex system's constituents and a corresponding reward mechanism based on it have profound influence on the functioning, stability, and evolution of the system. But determining the dominance hierarchy or ranking among the constituent parts from the strongest to the weakest -- essential in determining reward or penalty -- is almost always an ambiguous task due to the incomplete nature of competition networks. Here we introduce ``Natural Ranking," a desirably unambiguous ranking method applicable to a complete (full) competition network, and formulate an analytical model based on the Bayesian formula inferring the expected mean and error of the natural ranking of nodes from an incomplete network. We investigate its potential and uses in solving issues in ranking by applying to a real-world competition network of economic and social importance.

Park, Juyong

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Bayesian Inference on Visual Grammars by Neural Nets that Optimize  

E-Print Network (OSTI)

We exhibit a systematic way to derive neural nets for vision problems. It involves formulating a vision problem as Bayesian inference or decision on a comprehensive model of the visual domain given by a probabilistic grammar. A key feature of this grammar is the way in which it eliminates model information, such as object labels, as it produces an image; correspondance problems and other noise removal tasks result. The neural nets that arise most directly are generalized assignment networks. Also there are transformations which naturally yield improved algorithms such as correlation matching in scale space and the Frameville neural nets for high-level vision. Networks derived this way generally have objective functions with spurious local minima; such minima may commonly be avoided by dynamics that include deterministic annealing, for example recent improvements to Mean Field Theory dynamics. The grammatical method of neural net design allows domain knowledge to enter from all levels o...

Eric Mjolsness

1990-01-01T23:59:59.000Z

302

A family of algorithms for approximate Bayesian inference  

E-Print Network (OSTI)

One of the major obstacles to using Bayesian methods for pattern recognition has been its computational expense. This thesis presents an approximation technique that can perform Bayesian inference faster and more accurately than previously possible. This method, "Expectation Propagation," unifies and generalizes two previous techniques: assumeddensity filtering, an extension of the Kalman filter, and loopy belief propagation, an extension of belief propagation in Bayesian networks. The unification shows how both of these algorithms can be viewed as approximating the true posterior distribution with a simpler distribution, which is close in the sense of KL-divergence. Expectation Propagation exploits the best of both algorithms: the generality of assumed-density filtering and the accuracy of loopy belief propagation. Loopy belief propagation, because it propagates exact belief states, is useful for limited types of belief networks, such as purely discrete networks. Expectation Propagati...

Rosalind Picard; Thomas P. Minka; Thomas P Minka

2001-01-01T23:59:59.000Z

303

Bayesian Inference of Polarized CMB Power Spectra from Interferometric Data  

E-Print Network (OSTI)

Detection of B-mode polarization of the cosmic microwave background (CMB) radiation is one of the frontiers of observational cosmology. Because they are an order of magnitude fainter than E-modes, it is quite a challenge to detect B-modes. Having more manageable systematics, interferometers prove to have a substantial advantage over imagers in detecting such faint signals. Here, we present a method for Bayesian inference of power spectra and signal reconstruction from interferometric data of the CMB polarization signal by using the technique of Gibbs sampling. We demonstrate the validity of the method in the flat-sky approximation for a simulation of an interferometric observation on a finite patch with incomplete uv-plane coverage, a finite beam size and a realistic noise model. With a computational complexity of O(n^{3/2}), n being the data size, Gibbs sampling provides an efficient method for analyzing upcoming cosmology observations.

Karakci, Ata; Zhang, Le; Bunn, Emory F; Korotkov, Andrei; Timbie, Peter; Tucker, Gregory S; Wandelt, Benjamin D

2012-01-01T23:59:59.000Z

304

Detection of trend changes in time series using Bayesian inference  

E-Print Network (OSTI)

Change points in time series are perceived as isolated singularities where two regular trends of a given signal do not match. The detection of such transitions is of fundamental interest for the understanding of the system's internal dynamics. In practice observational noise makes it difficult to detect such change points in time series. In this work we elaborate a Bayesian method to estimate the location of the singularities and to produce some confidence intervals. We validate the ability and sensitivity of our inference method by estimating change points of synthetic data sets. As an application we use our algorithm to analyze the annual flow volume of the Nile River at Aswan from 1871 to 1970, where we confirm a well-established significant transition point within the time series.

Schtz, Nadine

2011-01-01T23:59:59.000Z

305

Statistical Physics Approaches to Seismicity  

E-Print Network (OSTI)

This entry in the Encyclopedia of Complexity and Systems Science, Springer present a summary of some of the concepts and calculational tools that have been developed in attempts to apply statistical physics approaches to seismology. We summarize the leading theoretical physical models of the space-time organization of earthquakes. We present a general discussion and several examples of the new metrics proposed by statistical physicists, underlining their strengths and weaknesses. The entry concludes by briefly outlining future directions. The presentation is organized as follows. I Glossary II Definition and Importance of the Subject III Introduction IV Concepts and Calculational Tools IV.1 Renormalization, Scaling and the Role of Small Earthquakes in Models of Triggered Seismicity IV.2 Universality IV.3 Intermittent Periodicity and Chaos IV.4 Turbulence IV.5 Self-Organized Criticality V Competing mechanisms and models V.1 Roots of complexity in seismicity: dynamics or heterogeneity? V.2 Critical earthquakes ...

Sornette, D

2008-01-01T23:59:59.000Z

306

Energy Statistics: Third Quarter, 1985  

Science Conference Proceedings (OSTI)

Third quarter energy statistics expand the coverage of gas prices from the wellhead to the end users by adding city gate gas prices. In addition to general energy production and consumption data, the report includes information on natural gas, gas liquids, oil, coal, peat, electricity, and uranium. A table of heating values and several tables summarizing US prices and business indicators complete the report. 87 tables.

Not Available

1985-01-01T23:59:59.000Z

307

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 279 284 287 281 287 Greece ...

308

CPE - Common Platform Enumeration Dictionary Statistics  

Science Conference Proceedings (OSTI)

Official Common Platform Enumeration (CPE) Dictionary Statistics. CPE is a structured naming scheme for information technology ...

309

Check 'n' crash: combining static checking and testing  

Science Conference Proceedings (OSTI)

We present an automatic error-detection approach that combines static checking and concrete test-case generation. Our approach consists of taking the abstract error conditions inferred using theorem proving techniques by a static checker (ESC/Java), ... Keywords: automatic testing, dynamic analysis, extended static checking, static analysis, test case generation, usability

Christoph Csallner; Yannis Smaragdakis

2005-05-01T23:59:59.000Z

310

Controlling a drone: Comparison between a based model method and a fuzzy inference system  

Science Conference Proceedings (OSTI)

The work describes an automatically on-line self-tunable fuzzy inference system (STFIS) of a new configuration of mini-flying called XSF (X4 Stationnary Flyer) drone. A fuzzy controller based on on-line optimization of a zero order Takagi-Sugeno fuzzy ... Keywords: Drone, Dynamic systems, Self-tunable fuzzy inference system, Static feedback linearization controller, Tracking control

K. M. Zemalache; H. Maaref

2009-03-01T23:59:59.000Z

311

Nonlinear system control using self-evolving neural fuzzy inference networks with reinforcement evolutionary learning  

Science Conference Proceedings (OSTI)

This study presents a reinforcement evolutionary learning algorithm (REL) for the self-evolving neural fuzzy inference networks (SENFIN). By applying functional link neural networks (FLNN) as the consequent part of the fuzzy rules, the proposed SENFIN ... Keywords: Cultural algorithm, Neural fuzzy inference network, Particle swarm optimization, Reinforcement learning

Cheng-Jian Lin; Cheng-Hung Chen

2011-12-01T23:59:59.000Z

312

Multistep speaker identification using gibbs-distribution-based extended bayesian inference for rejecting unregistered speaker  

Science Conference Proceedings (OSTI)

This paper presents a method of multistep speaker identification using Gibbs-distribution-based extended Bayesian inference (GEBI) for rejecting unregistered speaker. The method is developed for our speaker recognition system which utilizes competitive ... Keywords: Gibbs-distribution-based extended bayesian inference, competitive associative net, multistep speaker identification

Yuta Mizobe; Shuichi Kurogi; Tomohiro Tsukazaki; Takeshi Nishida

2012-11-01T23:59:59.000Z

313

Fault conditions classification of automotive generator using an adaptive neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

In this paper, an adaptive neuro-fuzzy inference system (ANFIS) was proposed for condition monitoring and fault diagnosis of an automotive generator. Conventional fault indication of an automotive generator generally uses an indicator to inform the driver ... Keywords: Adaptive neuro-fuzzy inference system, Automotive generator, Discrete wavelet transform, Fault diagnosis system

Jian-Da Wu; Jun-Ming Kuo

2010-12-01T23:59:59.000Z

314

Mining relationship associations from knowledge about failures using ontology and inference  

Science Conference Proceedings (OSTI)

Mining general knowledge about relationships between concepts described in the analyses of failure cases could help people to avoid repeating previous failures. Furthermore, by representing knowledge using ontologies that support inference, we can identify ... Keywords: failure knowledge, frequent pattern mining, graph mining, knowledge discovery, logical inference, ontology, relationship association, semantic relationships

Weisen Guo; Steven B. Kraines

2010-07-01T23:59:59.000Z

315

A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation  

Science Conference Proceedings (OSTI)

This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling ... Keywords: Adaptive network based fuzzy inference system, Computer simulation, Electricity consumption, Hybrid, Improvement, Time series

A. Azadeh; M. Saberi; A. Gitiforouz; Z. Saberi

2009-10-01T23:59:59.000Z

316

Decremental learning of evolving fuzzy inference systems: application to handwritten gesture recognition  

Science Conference Proceedings (OSTI)

This paper tackles the problem of incremental and decremental learning of an evolving and customizable fuzzy inference system for classification. We explain the interest of integrating a forgetting capacity in such an evolving system to improve its performances ... Keywords: concept drifts; forgetting, decremental learning, evolving fuzzy inference system, handwriting recognition, incremental learning, online classification, recursive least squares

Manuel Bouillon, Eric Anquetil, Abdullah Almaksour

2013-07-01T23:59:59.000Z

317

Inference of restricted stochastic boolean GRN's by Bayesian error and entropy based criteria  

Science Conference Proceedings (OSTI)

This work compares two frequently used criterion functions in inference of gene regulatory networks (GRN), one based on Bayesian error and another based on conditional entropy. The network model utilized was the stochastic restricted Boolean network ... Keywords: Bayesian error, entropy, feature selection, gene regulatory networks inference, stochastic restricted Boolean network models

David Correa Martins, Jr.; Evaldo Arajo De Oliveira; Vitor Hugo Louzada; Ronaldo Fumio Hashimoto

2010-11-01T23:59:59.000Z

318

Semiparametrically efficient inference based on signed ranks in symmetric independent component models  

E-Print Network (OSTI)

We consider semiparametric location-scatter models for which the $p$-variate observation is obtained as $X=\\Lambda Z+\\mu$, where $\\mu$ is a $p$-vector, $\\Lambda$ is a full-rank $p\\times p$ matrix and the (unobserved) random $p$-vector $Z$ has marginals that are centered and mutually independent but are otherwise unspecified. As in blind source separation and independent component analysis (ICA), the parameter of interest throughout the paper is $\\Lambda$. On the basis of $n$ i.i.d. copies of $X$, we develop, under a symmetry assumption on $Z$, signed-rank one-sample testing and estimation procedures for $\\Lambda$. We exploit the uniform local and asymptotic normality (ULAN) of the model to define signed-rank procedures that are semiparametrically efficient under correctly specified densities. Yet, as is usual in rank-based inference, the proposed procedures remain valid (correct asymptotic size under the null, for hypothesis testing, and root-$n$ consistency, for point estimation) under a very broad range of ...

Ilmonen, Pauliina; 10.1214/11-AOS906

2012-01-01T23:59:59.000Z

319

2008 world direct reduction statistics  

SciTech Connect

This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.

NONE

2009-07-01T23:59:59.000Z

320

Transportation Statistics Annual Report 1997  

SciTech Connect

This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the systemits physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is Mobility and Access, which complements past TSAR theme sections on The Economic Performance of Transportation (1995) and Transportation and the Environment (1996). Mobility and access are at the heart of the transportation systems performance from the users perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nations residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve peoples access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?

Fenn, M.

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Statistical Mechanics of Dictionary Learning  

E-Print Network (OSTI)

Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques of statistical mechanics of disordered systems to evaluate the size of the training set necessary to typically succeed in the dictionary learning. The results indicate that the necessary size is much smaller than previously estimated, which theoretically supports and/or encourages the use of dictionary learning in practical situations.

Sakata, Ayaka

2012-01-01T23:59:59.000Z

322

Statistical Models for Next Generation Sequencing Data  

E-Print Network (OSTI)

Three statistical models are developed to address problems in Next-Generation Sequencing data. The first two models are designed for RNA-Seq data and the third is designed for ChIP-Seq data. The first of the RNA-Seq models uses a Bayesian non- parametric model to detect genes that are differentially expressed across treatments. A negative binomial sampling distribution is used for each genes read count such that each gene may have its own parameters. Despite the consequent large number of parameters, parsimony is imposed by a clustering inherent in the Bayesian nonparametric framework. A Bayesian discovery procedure is adopted to calculate the probability that each gene is differentially expressed. A simulation study and real data analysis show this method will perform at least as well as existing leading methods in some cases. The second RNA-Seq model shares the framework of the first model, but replaces the usual random partition prior from the Dirichlet process by a random partition prior indexed by distances from Gene Ontology (GO). The use of the external biological information yields improvements in statistical power over the original Bayesian discovery procedure. The third model addresses the problem of identifying protein binding sites for ChIP-Seq data. An exact test via a stochastic approximation is used to test the hypothesis that the treatment effect is independent of the sequence count intensity effect. The sliding window procedure for ChIP-Seq data is followed. The p-value and the adjusted false discovery rate are calculated for each window. For the sites identified as peak regions, three candidate models are proposed for characterizing the bimodality of the ChIP-Seq data, and the stochastic approximation in Monte Carlo (SAMC) method is used for selecting the best of the three. Real data analysis shows that this method produces comparable results as other existing methods and is advantageous in identifying bimodality of the data.

Wang, Yiyi

2013-05-01T23:59:59.000Z

323

Statistical Analysis of Geothermal Wells in the United States  

Science Conference Proceedings (OSTI)

This study represents the first attempt to characterize the U.S. geothermal-hydrothermal resource from well data. The report contains field test data on more than 500 geothermal wells and includes statistical analyses of key well parameters. Utilities can use the information in planning and engineering analysis.

1987-07-24T23:59:59.000Z

324

Improved Model Output Statistics Forecasts through Model Consensus  

Science Conference Proceedings (OSTI)

Consensus forecasts are computed by averaging model output statistics (MOS) forecasts based on the limited-area fine-mesh (LFM) model and the nested grid model (NGM) for the three-year period 199092. The test consists of four weather elements (...

Robert L. Vislocky; J. Michael Fritsch

1995-07-01T23:59:59.000Z

325

Note: Statistical errors estimation for Thomson scattering diagnostics  

SciTech Connect

A practical way of estimating statistical errors of a Thomson scattering diagnostic measuring plasma electron temperature and density is described. Analytically derived expressions are successfully tested with Monte Carlo simulations and implemented in an automatic data processing code of the JET LIDAR diagnostic.

Maslov, M.; Beurskens, M. N. A.; Flanagan, J.; Kempenaars, M. [EURATOM-CCFE Fusion Association, Culham Science Centre, Abingdon, Oxon OX14 3DB (United Kingdom); Collaboration: JET-EFDA Contributors

2012-09-15T23:59:59.000Z

326

Solar-climatic statistical study  

DOE Green Energy (OSTI)

The Solar-Climatic Statistical Study was performed to provide statistical information on the expected future availability of solar and wind power at various nationwide sites. Historic data (SOLMET), at 26 National Weather Service stations reporting hourly solar insolation and collateral meteorological information, were interrogated to provide an estimate of future trends. Solar data are global radiation incident on a horizontal surface, and wind data represent wind power normal to the air flow. Selected insolation and wind power conditions were investigated for their occurrence and persistence, for defined periods of time, on a monthly basis. Information of this nature are intended as an aid to preliminary planning activities for the design and operation of solar and wind energy utilization and conversion systems. Presented in this volume are probability estimates of solar insolation and wind power, alone and in combination, occurring and persisting at or above specified thresholds, for up to one week, for each of the 26 SOLMET stations. Diurnal variations of wind power were also considered. Selected probability data for each station are presented graphically, and comprehensive plots for all stations are provided on a set of microfiche included in a folder in the back of this volume.

Bray, R.E.

1979-02-01T23:59:59.000Z

327

Multi-target tracking - linking identities using Bayesian network inference  

E-Print Network (OSTI)

Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one another, as in football and surveillance tracking. We present an approach to solving this labeling problem. When isolated, a target can be tracked and its identity maintained. While, if targets interact this is not always the case. This paper assumes a track graph exists, denoting when targets are isolated and describing how they interact. Measures of similarity between isolated tracks are defined. The goal is to associate the identities of the isolated tracks, by exploiting the graph constraints and similarity measures. We formulate this as a Bayesian network inference problem, allowing us to use standard message propagation to find the most probable set of paths in an efficient way. The high complexity inevitable in large problems is gracefully reduced by removing dependency links between tracks. We apply the method to a 10 min sequence of an international football game and compare results to ground truth. 1.

Peter Nillius; Josephine Sullivan; Stefan Carlsson

2006-01-01T23:59:59.000Z

328

Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)  

DOE Green Energy (OSTI)

We introduce a cutting-edge life-testing technique, accelerated degradation testing (ADT), for PV reliability testing. The ADT technique is a cost-effective and flexible reliability testing method with multiple (MADT) and Step-Stress (SSADT) variants. In an environment with limited resources, including equipment (chambers), test units, and testing time, these techniques can provide statistically rigorous prediction of lifetime and other interesting parameters, such as failure rate, warranty time, mean time to failure, degradation rate, activation energy, acceleration factor, and upper limit level of stress. J-V characterization can be used for degradation data and the generalized Eyring model can be used for the thermal-humidity stress condition. The SSADT model can be constructed based on the cumulative damage model (CEM), which assumes that the remaining test united are failed according to cumulative density function of current stress level regardless of the history on previous stress levels.

Lee, J.; Elmore, R.; Jones, W.

2011-02-01T23:59:59.000Z

329

Using linguistic knowledge in statistical machine translation  

E-Print Network (OSTI)

In this thesis, we present methods for using linguistically motivated information to enhance the performance of statistical machine translation (SMT). One of the advantages of the statistical approach to machine translation ...

Zbib, Rabih M. (Rabih Mohamed), 1974-

2010-01-01T23:59:59.000Z

330

Spatial Ontology in Factored Statistical Machine Translation  

Science Conference Proceedings (OSTI)

This paper presents a statistical phrase-based machine translation system which is enriched with semantic data coming from a spatial ontology. Paper presents the spatial ontology, how it is integrated in statistical machine translation system using factored ...

Raivis Skadi?

2011-08-01T23:59:59.000Z

331

Statistics on pattern-avoiding permutations  

E-Print Network (OSTI)

This thesis concerns the enumeration of pattern-avoiding permutations with respect to certain statistics. Our first result is that the joint distribution of the pair of statistics 'number of fixed points' and 'number of ...

Elizalde, Sergi, 1979-

2004-01-01T23:59:59.000Z

332

Preprocessing based statistical segmentation of MRA dataset  

Science Conference Proceedings (OSTI)

This paper describes a preprocessing mask technique based statistical mixture components segmentation method for extracting blood vessels from brain magnetic resonance angiography (MRA) dataset. The voxels whose intensity is high in the dataset belong ... Keywords: MIP, MRA, statistical segmentation

Fucang Jia; Shaorong Wang; Liyan Liu; Hua Li

2004-06-01T23:59:59.000Z

333

Statistics Education in the Atmospheric Sciences  

Science Conference Proceedings (OSTI)

Analyses of atmospheric sciences data and models are heavily dependent upon statistical and probabilistic reasoning. Statistical methods have played an important role in establishing physical relationships of atmosphere-ocean-land interactions ...

Timothy J. Brown; L. Mark Berliner; Daniel S. Wilks; Michael B. Richman; Christopher K. Wilke

1999-10-01T23:59:59.000Z

334

Bayesian inference in disputed authorship: A case study of cognitive errors and a new system for decision support  

Science Conference Proceedings (OSTI)

Bayesian inference provides a formal framework for assessing the odds of hypotheses in light of evidence. This makes Bayesian inference applicable to a wide range of diagnostic challenges in the field of chance discovery, including the problem of disputed ... Keywords: Bayesian Boxes, Bayesian Network, Bayesian inference, Cognitive error, Decision support, Disputed authorship, Graphical system

Kevin Burns

2006-06-01T23:59:59.000Z

335

Observations and Inferred Physical Characteristics of Compact Intracloud Discharges  

Science Conference Proceedings (OSTI)

Compact intracloud discharges (CIDS) represent a distinct class of electrical discharges that occur within intense regions of thunderstorms. They are singular discharges that produce brief (typically 3 s in duration) broadband RF emissions that are 20 to 30 dB more powerful than radiation from all other recorded lightning processes in the HF and VHF radio spectrum. Far field electric field change recordings of CIDS consist of a single, large-amplitude bipolar pulse that begins to rise during the RF-producing phase of the CID and typically lasts for 20 s. During the summer of 1998 we operated a 4-station array of electric field change meters in New Mexico to support FORTE satellite observations of transient RF and optical sources and to learn more about the phenomenology and physical characteristics of CIDS. Over 800 CIDS were detected and located during the campaign. The events were identified on the basis of their unique field change waveforms. CID source heights determined using the relative delays of ionospherically reflected source emissions were typically between 4 and 11 km above ground level. Events of both positive and negative polarity were observed with events' of initially- negative polarity (indicative of discharges occurring between underlying positive and overlying negative charge) occurring at slightly higher altitudes. Within CID field change waveforms the CID pulse was often followed within a few ms by one or more smaller-amplitude pulses. We associate these subsequent pulses with the initial activity of a "normal" intracloud flash, the inference being that some fraction of the time, a CID initiates an intracloud lightning flash.

Argo, P.E.; Eack, K.B.; Holden, D.N.; Massey, R.S.; Shao, X.; Smith, D.A.; Wiens, K.C.

1999-02-01T23:59:59.000Z

336

NIST/Sematech Engineering Statistics Handbook  

Science Conference Proceedings (OSTI)

NIST/SEMATECH Engineering Statistics Handbook. ... Case studies can be run from the handbook using the Dataplot software. ...

2013-11-01T23:59:59.000Z

337

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ;

338

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Seoul: Ministry of Commerce, Industry, and Energy, Korea Energy Economics Institute, various issues. Electricity. Agency of Statistics, Republic of Kazakhstan: ...

339

Statistical Fingerprinting for Malware Detection and ...  

necessarily cause a statistical deviation from the baseline that can be detected (a "symptom" of the infection). Further, ...

340

Bayesian Inference in Probabilistic Risk Assessment -- The Current State of the Art  

SciTech Connect

Markov chain Monte Carlo approaches to sampling directly from the joint posterior distribution of aleatory model parameters have led to tremendous advances in Bayesian inference capability in a wide variety of fields, including probabilistic risk analysis. The advent of freely available software coupled with inexpensive computing power has catalyzed this advance. This paper examines where the risk assessment community is with respect to implementing modern computational-based Bayesian approaches to inference. Through a series of examples in different topical areas, it introduces salient concepts and illustrates the practical application of Bayesian inference via Markov chain Monte Carlo sampling to a variety of important problems.

Dana L. Kelly; Curtis L. Smith

2009-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Inferences On The Hydrothermal System Beneath The Resurgent Dome...  

Open Energy Info (EERE)

dome. Although this system apparently died off as a result of mineral deposition and cooling (andor deepening) of magmatic heat sources, flow testing and tidal analyses of...

342

Statistical mechanics and ocean circulation Rick Salmon  

E-Print Network (OSTI)

Statistical mechanics and ocean circulation Rick Salmon Scripps Institution of Oceanography, UCSD equilibrium statistical mechanics based upon the conservation of energy and potential enstrophy to the mass. The equilibrium state resembles the buoyancy structure actually observed. Key words: statistical mechanics, ocean

Salmon, Rick

343

FRAMES Software System: Linking to the Statistical Package R  

SciTech Connect

This document provides requirements, design, data-file specifications, test plan, and Quality Assurance/Quality Control protocol for the linkage between the statistical package R and the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES) Versions 1.x and 2.0. The requirements identify the attributes of the system. The design describes how the system will be structured to meet those requirements. The specification presents the specific modifications to FRAMES to meet the requirements and design. The test plan confirms that the basic functionality listed in the requirements (black box testing) actually functions as designed, and QA/QC confirms that the software meets the clients needs.

Castleton, Karl J.; Whelan, Gene; Hoopes, Bonnie L.

2006-12-11T23:59:59.000Z

344

Office of Survey Development and Statistical Integration  

U.S. Energy Information Administration (EIA) Indexed Site

Steve Harvey Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27, 2011 Quarterly Coal Consumption and Quality Report, Manufacturing and Transformation/Processing Coal Plants and Commercial and Institutional Coal Users EIA-3 Quarterly Coal Consumption and Quality Report - Coke Plants EIA-5 Coal Production and Preparation

345

Estimating Watershed Evapotranspiration with PASS. Part I: Inferring Root-Zone Moisture Conditions Using Satellite Data  

Science Conference Proceedings (OSTI)

A model framework for parameterized subgrid-scale surface fluxes (PASS) has been modified and applied as PASS1 to use satellite data, models, and limited surface observations to infer root-zone available moisture (RAM) content with high spatial ...

J. Song; M. L. Wesely; R. L. Coulter; E. A. Brandes

2000-10-01T23:59:59.000Z

346

Inference of Causal Networks from Time-course Transcription Data in  

NLE Websites -- All DOE Office Websites (Extended Search)

Inference of Causal Networks from Time-course Transcription Data in Inference of Causal Networks from Time-course Transcription Data in Response to a 2 Gy Challenge Dose of Ionizing Radiation with or without a 10 cGy Priming Dose Kai Zhang Lawrence Berkeley National Laboratory Abstract Goal: To elucidate temporal-dependent gene templates, causal networks, and underlying biological processes that can be inferred in response to a 10 cGy priming dose with or without a later higher challenged dose. Background and significance: Mechanistic inference of regulatory network can provide new insights into radiation systems biology. The main challenge continues to be high dimensionality of data, complex network architecture and limited knowledge of biological processes. Approach: Our approach is to develop a novel computational method that

347

Development and Evaluation of Methods to Infer Biosynthesis and Substrate Consumption in Cultures of Cellulolytic Microorganisms  

NLE Websites -- All DOE Office Websites (Extended Search)

and and Evaluation of Methods to Infer Biosynthesis and Substrate Consumption in Cultures of Cellulolytic Microorganisms Evert K. Holwerda, Lucas D. Ellis, Lee R. Lynd Thayer School of Engineering at Dartmouth College, 14 Engineering Drive, Hanover, New Hampshire, 03755; telephone: 1-6036462231; fax: 1-6036462277; e-mail: lee.r.lynd@dartmouth.edu ABSTRACT: Concentrations of biosynthate (microbial bio- mass plus extracellular proteins) and residual substrate were inferred using elemental analysis for batch cultures of Clostridium thermocellum. Inferring residual substrate based on elemental analysis for a cellulose (Avicel)-grown culture shows similar results to residual substrate determined by quantitative saccharification using acid hydrolysis. Inference based on elemental analysis is also compared to different on- line measurements: base addition, CO

348

Inference of Cloud Optical Depth from Aircraft-Based Solar Radiometric Measurements  

Science Conference Proceedings (OSTI)

A method is introduced for inferring cloud optical depth ? from solar radiometric measurements made on an aircraft at altitude z. It is assessed using simulated radiometric measurements produced by a 3D Monte Carlo algorithm acting on fields of ...

H. W. Barker; A. Marshak; W. Szyrmer; J-P. Blanchet; A. Trishchenko; Z. Li

2002-07-01T23:59:59.000Z

349

Effective Eddy Diffusivities Inferred from a Point Release Tracer in an Eddy-Resolving Ocean Model  

Science Conference Proceedings (OSTI)

This study uses tracer experiments in a global eddy-resolving ocean model to examine two diagnostic methods for inferring effective eddy isopycnic diffusivity from point release tracers. The first method is based on the growth rate of the area ...

Mei-Man Lee; A. J. George Nurser; Andrew C. Coward; Beverly A. de Cuevas

2009-04-01T23:59:59.000Z

350

Combined static and dynamic analysis for inferring program dependencies using a pattern language  

Science Conference Proceedings (OSTI)

One of the challenges when examining enterprise applications is the ability to understand the dependencies of these applications on external and internal resources such as database access or transaction activation. Inferring dependencies can be achieved ...

Inbal Ronen; Nurit Dor; Sara Porat; Yael Dubinsky

2006-10-01T23:59:59.000Z

351

Inferring Optical Depth of Broken Clouds above Green Vegetation Using Surface Solar Radiometric Measurements  

Science Conference Proceedings (OSTI)

A method for inferring cloud optical depth ? is introduced and assessed using simulated surface radiometric measurements produced by a Monte Carlo algorithm acting on fields of broken, single-layer, boundary layer clouds derived from Landsat ...

Howard W. Barker; Alexander Marshak

2001-10-01T23:59:59.000Z

352

More data means less inference: A pseudo-max approach to structured learning  

E-Print Network (OSTI)

The problem of learning to predict structured labels is of key importance in many applications. However, for general graph structure both learning and inference in this setting are intractable. Here we show that it is ...

Sontag, David

353

Interchannel Error Correlation Associated with AIRS Radiance Observations: Inference and Impact in Data Assimilation  

Science Conference Proceedings (OSTI)

The interchannel observation error correlation (IOEC) associated with radiance observations is currently assumed to be zero in meteorological data assimilation systems. This assumption may lead to suboptimal analyses. Here, the IOEC is inferred ...

Louis Garand; Sylvain Heilliette; Mark Buehner

2007-06-01T23:59:59.000Z

354

Influence of Absorbing Aerosols on the Inference of Solar Surface Radiation Budget and Cloud Absorption  

Science Conference Proceedings (OSTI)

This study addresses the impact of absorbing aerosols on the retrieval of the solar surface radiation budget (SSRB) and on the inference of cloud absorption using multiple global datasets. The data pertain to the radiation budgets at the top of ...

Zhanqing Li

1998-01-01T23:59:59.000Z

355

Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi  

Science Conference Proceedings (OSTI)

The authors introduce a three-parameter characterization of the wind speed dependence of the drag coefficient and apply a Bayesian formalism to infer values for these parameters from airborne expendable bathythermograph (AXBT) temperature data ...

Ihab Sraj; Mohamed Iskandarani; Ashwanth Srinivasan; W. Carlisle Thacker; Justin Winokur; Alen Alexanderian; Chia-Ying Lee; Shuyi S. Chen; Omar M. Knio

2013-07-01T23:59:59.000Z

356

Higher order asymptotic inference in remote sensing of oceanic and planetary environments  

E-Print Network (OSTI)

An inference method based on higher order asymptotic expansions of the bias and covariance of the Maximum Likelihood Estimate (MLE) is used to investigate the accuracy of parameter estimates obtained from remote sensing ...

Bertsatos, loannis

2010-01-01T23:59:59.000Z

357

Two Experiments on Using a Scintillometer to Infer the Surface Fluxes of Momentum and Sensible Heat  

Science Conference Proceedings (OSTI)

A traditional use of scintillometry is to infer path-averaged values of the turbulent surface fluxes of sensible heat Hs and momentum ? (, where ? is air density and u* is the friction velocity). Many scintillometer setups, however, measure only ...

Edgar L Andreas

2012-09-01T23:59:59.000Z

358

Goal and action inference for helpful robots using self as simulator  

E-Print Network (OSTI)

(cont.) working model of simulation theory (informed by scientific studies of autism, imitation, and the development of theory of other minds) that is able to infer the intention behind observable action and its effects. ...

Gray, Jesse V., 1979-

2004-01-01T23:59:59.000Z

359

Bayesian inference for a wavefront model of the Neolithisation of Europe  

E-Print Network (OSTI)

We consider a wavefront model for the spread of Neolithic culture across Europe, and use Bayesian inference techniques to provide estimates for the parameters within this model, as constrained by radiocarbon data from Southern and Western Europe. Our wavefront model allows for both an isotropic background spread (incorporating the effects of local geography), and a localized anisotropic spread associated with major waterways. We introduce an innovative numerical scheme to track the wavefront, allowing us to simulate the times of the first arrival at any site orders of magnitude more efficiently than traditional PDE approaches. We adopt a Bayesian approach to inference and use Gaussian process emulators to facilitate further increases in efficiency in the inference scheme, thereby making Markov chain Monte Carlo methods practical. We allow for uncertainty in the fit of our model, and also infer a parameter specifying the magnitude of this uncertainty. We obtain a magnitude for the background spread of order 1 ...

Baggaley, Andrew W; Shukurov, Anvar; Boys, Richard J; Golightly, Andrew

2012-01-01T23:59:59.000Z

360

Efficient and tight upper bounds for haplotype inference by pure parsimony using delayed haplotype selection  

Science Conference Proceedings (OSTI)

Haplotype inference from genotype data is a key step towards a better understanding of the role played by genetic variations on inherited diseases. One of the most promising approaches uses the pure parsimony criterion. This approach is called Haplotype ...

Joo Marques-Silva; Ins Lynce; Ana Graa; Arlindo L. Oliveira

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market  

E-Print Network (OSTI)

We review Bayesian inference for dynamic latent variable models using the data augmentation principle. We detail the difficulties of simulating dynamic latent variables in a Gibbs sampler. We propose an alternative specification of the dynamic disequilibrium model which leads to a simple simulation procedure and renders Bayesian inference fully operational. Identification issues are discussed. We conduct a specification search using the posterior deviance criterion of Spiegelhalter, Best, Carlin, and van der Linde (2002) for a disequilibrium model of the Polish credit market.

Luc Bauwens; Michel Lubrano

2006-01-01T23:59:59.000Z

362

Vortex methods and vortex statistics  

SciTech Connect

Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.

Chorin, A.J.

1993-05-01T23:59:59.000Z

363

asympTest: an R package for performing parametric statistical tests and confidence  

E-Print Network (OSTI)

on the central limit theorem J.-F. Coeurjolly1 , R. Drouilhet1 , P. Lafaye de Micheaux1 and J.-F. Robineau2 1

Paris-Sud XI, Université de

364

Nonparametric inference of quantile curves for nonstationary time series  

E-Print Network (OSTI)

The paper considers nonparametric specification tests of quantile curves for a general class of nonstationary processes. Using Bahadur representation and Gaussian approximation results for nonstationary time series, simultaneous confidence bands and integrated squared difference tests are proposed to test various parametric forms of the quantile curves with asymptotically correct type I error rates. A wild bootstrap procedure is implemented to alleviate the problem of slow convergence of the asymptotic results. In particular, our results can be used to test the trends of extremes of climate variables, an important problem in understanding climate change. Our methodology is applied to the analysis of the maximum speed of tropical cyclone winds. It was found that an inhomogeneous upward trend for cyclone wind speeds is pronounced at high quantile values. However, there is no trend in the mean lifetime-maximum wind speed. This example shows the effectiveness of the quantile regression technique.

Zhou, Zhou

2010-01-01T23:59:59.000Z

365

Inferring Architectural Designs from Physical Sketches: Application to Daylighting Analysis  

E-Print Network (OSTI)

a daylighting and photosensor control system. The program has two main sections: a Design Tool followed ......................................................................................19 5.2 Daylighting Results............................................................47 Test Classroom #7 - Vary Control System Type - Sliding vs. Constant Setpoint .......47 Appendix C

Salama, Khaled

366

Inferring molecular interactions pathways from eQTL data  

SciTech Connect

Analysis of expression quantitative trait loci (eQTL) helps elucidate the connection between genotype, gene expression levels, and phenotype. However, standard statistical genetics can only attribute changes in expression levels to loci on the genome, not specific genes. Each locus can contain many genes, making it very difficult to discover which gene is controlling the expression levels of other genes. Furthermore, it is even more difficult to find a pathway of molecular interactions responsible for controlling the expression levels. Here we describe a series of techniques for finding explanatory pathways by exploring graphs of molecular interactions. We show several simple methods can find complete pathways the explain the mechanism of differential expression in eQTL data.

Rashid, Imran; McDermott, Jason E.; Samudrala, Ram

2009-04-20T23:59:59.000Z

367

A Statistical Solar Flare Forecast Method  

E-Print Network (OSTI)

A Bayesian approach to solar flare prediction has been developed, which uses only the event statistics of flares already observed. The method is simple, objective, and makes few ad hoc assumptions. It is argued that this approach should be used to provide a baseline prediction for certain space weather purposes, upon which other methods, incorporating additional information, can improve. A practical implementation of the method for whole-Sun prediction of Geostationary Observational Environment Satellite (GOES) events is described in detail, and is demonstrated for 4 November 2003, the day of the largest recorded GOES flare. A test of the method is described based on the historical record of GOES events (1975-2003), and a detailed comparison is made with US National Oceanic and Atmospheric Administration (NOAA) predictions for 1987-2003. Although the NOAA forecasts incorporate a variety of other information, the present method out-performs the NOAA method in predicting mean numbers of event days, for both M-X and X events. Skill scores and other measures show that the present method is slightly less accurate at predicting M-X events than the NOAA method, but substantially more accurate at predicting X events, which are important contributors to space weather.

M. S. Wheatland

2005-05-14T23:59:59.000Z

368

Statistics for characterizing data on the periphery  

SciTech Connect

We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

Theiler, James P [Los Alamos National Laboratory; Hush, Donald R [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

369

Is there a statistical mechanics of turbulence  

SciTech Connect

The statistical-mechanical treatment of turbulence is made questionable by strong nonlinearity and strong disequilibrium that result in the creation of ordered structures imbedded in disorder. Model systems are described which may provide some hope that a compact, yet faithful, statistical description of turbulence nevertheless is possible. Some essential dynamic features of the models are captured by low-order statistical approximations despite strongly non-Gaussian behavior. 31 refs., 5 figs.

Kraichnan, R.H.; Chen, S.Y.

1988-09-01T23:59:59.000Z

370

Workforce Statistics - NNSA | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

NNSA | National Nuclear Security Administration NNSA | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Workforce Statistics - NNSA Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NNSA Workforce Statistics - NNSA NNSA FY13 NNSA Semi Annual Workforce Diversity Report

371

NIST/SEMATECH Engineering Statistics Handbook  

Science Conference Proceedings (OSTI)

NIST/SEMATECH Engineering Statistics Handbook. ... The team first laid out the scope of the new handbook and a detailed outline of its content. ...

2010-12-15T23:59:59.000Z

372

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 0.089 0.089 0.077 0.067 0.061 0.067 ...

373

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 43.2 41.0 41.1 35.6 30.8 28.1 ...

374

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 3,883 ... 4,156.745 Virgin Islands, U.S. 0.978 0.987 0.855 0 ...

375

Homepage: Computer, Computational, and Statistical Sciences,...  

NLE Websites -- All DOE Office Websites (Extended Search)

ADTSC Computer, Computational, & Statistical Sciences, CCS Home Internal Home About Us Organization Jobs CCS Home Groups Computational Physics & Methods CCS-2 Information Sciences...

376

Inference for the Weibull distribution with progressive hybrid censoring  

Science Conference Proceedings (OSTI)

Recently, progressive hybrid censoring schemes have become quite popular in life-testing and reliability studies. In this paper, we investigate the maximum likelihood estimation and Bayesian estimation for a two-parameter Weibull distribution based on ... Keywords: Gibbs sampling, Lindley's approximation, Markov Chain Monte Carlo method, Metropolis-Hastings algorithm, Tierney-Kadane's approximation

Chien-Tai Lin; Cheng-Chieh Chou; Yen-Lung Huang

2012-03-01T23:59:59.000Z

377

Irradiation test program for FFTF  

SciTech Connect

Four unique deisgn features are described which make the Fast Flux Test Facility eminently suitable for irradiation test programs. These features are a fast flux level of 7 x 10/sup 15/ neutrons/cm/sup 2//sec, a 36-inch reference (breeder reactor) core height, test volumes suitable for testing of statistical quantities of materials, and the capability for direct (contact) or indirect (proximity) instrumentation of active core experiments.

Corrigan, D.C.; Last, G.A.

1978-06-18T23:59:59.000Z

378

Workforce Statistics - NA 70 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 70 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 70...

379

Workforce Statistics - NA MB | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA MB Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA MB...

380

Workforce Statistics - NA 20 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 20 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 20...

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Workforce Statistics - NA 10 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 10 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 10...

382

Workforce Statistics - NA EA | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA EA Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA EA...

383

Workforce Statistics - NA-30 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA-30 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA-30...

384

Workforce Statistics - Los Alamos Field Office | National Nuclear...  

National Nuclear Security Administration (NNSA)

Statistics - Los Alamos Field Office Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - Los Alamos...

385

Workforce Statistics - NA 40 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 40 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 40...

386

Workforce Statistics - Y-12 | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - Y-12 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - Y-12...

387

Workforce Statistics - NA GC | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA GC Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA GC...

388

Workforce Statistics - NA 1 | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 1 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 1...

389

Workforce Statistics - NA APM | National Nuclear Security Administrati...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA APM Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA APM...

390

Workforce Statistics - NA SH | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA SH Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA SH...

391

Workforce Statistics - NA 80 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 80 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 80...

392

Workforce Statistics - NA IM | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA IM Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA IM...

393

Detailed Monthly and Annual LNG Import Statistics (2004-2012...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics...

394

A Bootstrap Approach to Computing Uncertainty in Inferred Oil and Gas Reserve Estimates  

Science Conference Proceedings (OSTI)

This study develops confidence intervals for estimates of inferred oil and gas reserves based on bootstrap procedures. Inferred reserves are expected additions to proved reserves in previously discovered conventional oil and gas fields. Estimates of inferred reserves accounted for 65% of the total oil and 34% of the total gas assessed in the U.S. Geological Survey's 1995 National Assessment of oil and gas in US onshore and State offshore areas. When the same computational methods used in the 1995 Assessment are applied to more recent data, the 80-year (from 1997 through 2076) inferred reserve estimates for pre-1997 discoveries located in the lower 48 onshore and state offshore areas amounted to a total of 39.7 billion barrels of oil (BBO) and 293 trillion cubic feet (TCF) of gas. The 90% confidence interval about the oil estimate derived from the bootstrap approach is 22.4 BBO to 69.5 BBO. The comparable 90% confidence interval for the inferred gas reserve estimate is 217 TCF to 413 TCF. The 90% confidence interval describes the uncertainty that should be attached to the estimates. It also provides a basis for developing scenarios to explore the implications for energy policy analysis.

Attanasi, Emil D. [US Geological Survey MS 956 (United States)], E-mail: attanasi@usgs.gov; Coburn, Timothy C. [Abilene Christian University, Department of Management Science (United States)

2004-03-15T23:59:59.000Z

395

New statistical methods for detecting point alignments  

Science Conference Proceedings (OSTI)

Detection of straight-linear point alignments has a number of geological applications. Assessing the statistical significance of such alignments is relatively straightforward in the case of overall lineament orientation, but becomes complicated for non-stationary ... Keywords: Alignment detection, Directional statistics, Point patterns, Spatial analysis

. Hammer

2009-03-01T23:59:59.000Z

396

Following directions using statistical machine translation  

Science Conference Proceedings (OSTI)

Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate how statistical machine translation techniques can be used to bridge the gap ... Keywords: human-robot interaction, instruction following, natural language, navigation, statistical machine translation

Cynthia Matuszek; Dieter Fox; Karl Koscher

2010-03-01T23:59:59.000Z

397

Tennessee Energy Statistics Quarterly, third quarter 1984  

Science Conference Proceedings (OSTI)

The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow - production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity.

Finley, T.F. III; Hensley, B.D.; Trotter, T.

1984-01-01T23:59:59.000Z

398

Bagging and Boosting statistical machine translation systems  

Science Conference Proceedings (OSTI)

In this article we address the issue of generating diversified translation systems from a single Statistical Machine Translation (SMT) engine for system combination. Unlike traditional approaches, we do not resort to multiple structurally different SMT ... Keywords: Ensemble learning, Statistical machine translation, System combination

Tong Xiao; Jingbo Zhu; Tongran Liu

2013-02-01T23:59:59.000Z

399

Optimal statistical model for forecasting ozone  

Science Conference Proceedings (OSTI)

The objective of this paper is to apply time series analysis and multiple regression method to ozone data in order to obtain the optimal statistical model for forecasting next day ozone level. The best estimated model is then used to produce one-step ... Keywords: ARMA (p, q), Durbin-Watson Statistic, MAPE, R-square, multiple regression

M. Abdollahian; R. Foroughi; N. Debnath

2006-04-01T23:59:59.000Z

400

Quantum Statistical Mechanics and Quantum Computation  

E-Print Network (OSTI)

Quantum Statistical Mechanics and Quantum Computation 22-23 March 2012 Room 111, Jadwin Hall, focused meeting to explore the intersection between quantum statistical mechanics and quantum computation, specifically quantum complexity theory. Advances in complexity theory have interesting implications for physics

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Evaluating In-Clique and Topological Parallelism Strategies for Junction Tree-Based Bayesian Inference Algorithm on the Cray XMT  

SciTech Connect

Long viewed as a strong statistical inference technique, Bayesian networks have emerged to be an important class of applications for high-performance computing. We have applied an architecture-conscious approach to parallelizing the Lauritzen-Spiegelhalter Junction Tree algorithm for exact inferencing in Bayesian networks. In optimizing the Junction Tree algorithm, we have implemented both in-clique and topological parallelism strategies to best leverage the fine-grained synchronization and massive-scale multithreading of the Cray XMT architecture. Two topological techniques were developed to parallelize the evidence propagation process through the Bayesian network. One technique involves performing intelligent scheduling of junction tree nodes based on its topology and relative size. The second technique involves decomposing the junction tree into a much finer tree-like representation to offer much more opportunities for parallelism. We evaluate these optimizations on five different Bayesian networks and report our findings and observations. Another important contribution of this paper is to demonstrate the application of massive-scale multithreading for load balancing and use of implicit parallelism-based compiler optimizations in designing scalable inferencing algorithms.

Chin, George; Choudhury, Sutanay; Kangas, Lars J.; McFarlane, Sally A.; Marquez, Andres

2011-09-01T23:59:59.000Z

402

A statistical method for estimating wood thermal diffusivity and probe geometry using in situ heat response curves from sap flow measurements  

SciTech Connect

The heat pulse method is widely used to measure water flux through plants; it works by inferring the velocity of water through a porous medium from the speed at which a heat pulse is propagated through the system. No systematic, non-destructive calibration procedure exists to determine the site-specific parameters necessary for calculating sap velocity, e.g., wood thermal diffusivity and probe spacing. Such parameter calibration is crucial to obtain the correct transpiration flux density from the sap flow measurements at the plant scale; and consequently, to up-scale tree-level water fluxes to canopy and landscape scales. The purpose of this study is to present a statistical framework for estimating the wood thermal diffusivity and probe spacing simutaneously from in-situ heat response curves collected by the implanted probes of a heat ratio apparatus. Conditioned on the time traces of wood temperature following a heat pulse, the parameters are inferred using a Bayesian inversion technique, based on the Markov chain Monte Carlo sampling method. The primary advantage of the proposed methodology is that it does not require known probe spacing or any further intrusive sampling of sapwood. The Bayesian framework also enables direct quantification of uncertainty in estimated sap flow velocity. Experiments using synthetic data show that repeated tests using the same apparatus are essential to obtain reliable and accurate solutions. When applied to field conditions, these tests are conducted during different seasons and automated using the existing data logging system. The seasonality of wood thermal diffusivity is obtained as a by-product of the parameter estimation process, and it is shown to be affected by both moisture content and temperature. Empirical factors are often introduced to account for the influence of non-ideal probe geometry on the estimation of heat pulse velocity, and they are estimated in this study as well. The proposed methodology can be applied for the calibration of existing heat ratio sap flow systems at other sites. It is especially useful when an alternative transpiration calibration device, such as a lysimeter, is not available.

Chen, Xingyuan; Miller, Gretchen R.; Rubin, Yoram; Baldocchi, Dennis

2012-09-13T23:59:59.000Z

403

In the OSTI Collections: Bayesian Inference | OSTI, US Dept of Energy,  

Office of Scientific and Technical Information (OSTI)

Bayesian Inference Bayesian Inference Specific uses of Bayes' theorem Conceptual ramifications of Bayes' theorem The meaning of Bayesian inference References Research Organizations Reports Available through OSTI's SciTech Connect and E-print Network Lectures Available through OSTI's ScienceCinema Additional References Mr. Smith walks with his dog every morning; those neighbors who can see the street where they walk are used to seeing them around 7:30 am. Ask any of the neighbors what the chances are that Mr. Smith and his dog will be walking down the street about 7:30 tomorrow morning, and they'll say it's practically 100% certain. Suppose, however, that sometime before dawn, the neighborhood experiences a power outage of several hours, so Mr. Smith's alarm clock doesn't go

404

Bayesian inference of inaccuracies in radiation transport physics from inertial confinement fusion experiments  

E-Print Network (OSTI)

First principles microphysics models are essential to the design and analysis of high energy density physics experiments. Using experimental data to investigate the underlying physics is also essential, particularly when simulations and experiments are not consistent with each other. This is a difficult task, due to the large number of physical models that play a role, and due to the complex (and as a result, noisy) nature of the experiments. This results in a large number of parameters that make any inference a daunting task; it is also very important to consistently treat both experimental and prior understanding of the problem. In this paper we present a Bayesian method that includes both these effects, and allows the inference of a set of modifiers which have been constructed to give information about microphysics models from experimental data. We pay particular attention to radiation transport models. The inference takes into account a large set of experimental parameters and an estimate of the prior kno...

Gaffney, Jim A; Sonnad, Vijay; Libby, Stephen B

2013-01-01T23:59:59.000Z

405

Using Bayesian Analysis and Gaussian Processes to Infer Electron Temperature and Density Profiles on the MAST Experiment  

E-Print Network (OSTI)

A unified, Bayesian inference of midplane electron temperature and density profiles using both Thompson scattering (TS) and interferometric data is presented. Beyond the Bayesian nature of the analysis, novel features of the inference are the use of a Gaussian process prior to infer a mollification length-scale of inferred profiles and the use of Gauss-Laguerre quadratures to directly calculate the depolarisation term associated with the TS forward model. Results are presented from an application of the method to data from the high resolution TS system on the Mega-Ampere Spherical Tokamak, along with a comparison to profiles coming from the standard analysis carried out on that system.

von Nessi, G T

2013-01-01T23:59:59.000Z

406

Topology for statistical modeling of petascale data.  

SciTech Connect

This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

Pascucci, Valerio (University of Utah, Salt Lake City, UT); Mascarenhas, Ajith Arthur; Rusek, Korben (Texas A& M University, College Station, TX); Bennett, Janine Camille; Levine, Joshua (University of Utah, Salt Lake City, UT); Pebay, Philippe Pierre; Gyulassy, Attila (University of Utah, Salt Lake City, UT); Thompson, David C.; Rojas, Joseph Maurice (Texas A& M University, College Station, TX)

2011-07-01T23:59:59.000Z

407

A Cautionary Note on Gamma Ray Burst Nearest Neighbor Statistics  

E-Print Network (OSTI)

In this letter we explore the suggestion of Quashnock and Lamb (1993) that nearest neighbor correlations among gamma ray burst positions indicate the possibility of burst repetitions within various burst sub-classes. With the aid of Monte Carlo calculations we compare the observed nearest neighbor distributions with those expected from an isotropic source population weighted by the published BATSE exposure map. The significance of the results are assessed via the Kolmogorov-Smirnov (K-S) test, as well as by a comparison to Monte Carlo simulations. The K-S results are in basic agreement with those of Quashnock and Lamb. However, as Narayan and Piran (1993) point out, and the Monte Carlo calculations confirm, the K-S test overestimates the significance of the observed distributions. We compare the sensitivity of these results to both the definitions of the assumed burst sub-classes and the burst positional errors. Of the two, the positional errors are more significant and indicate that the results of Quashnock and Lamb may be due to systematic errors, rather than any intrinsic correlation among the burst positions. Monte Carlo simulations also show that with the current systematic errors, the nearest neighbor statistic is not very sensitive to moderate repetition rates. Until the BATSE statistical and systematic errors are fully understood, the burst nearest neighbor correlations cannot be claimed to be significant evidence for burst repetitions. Subject Headings: gamma rays: bursts methods: statistical

Michael A. Nowak

1993-01-01T23:59:59.000Z

408

Application of Statistical Continuum Mechanics to Guide Processing ...  

Science Conference Proceedings (OSTI)

Multi scale modeling including statistical continuum mechanics is used to predict microstructure evolution during processing. We also developed statistical...

409

Scalable k-means statistics with Titan.  

SciTech Connect

This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the k-means engine.

Thompson, David C.; Bennett, Janine C.; Pebay, Philippe Pierre

2009-11-01T23:59:59.000Z

410

A robust forward weighted Lagrange multiplier test for conditional heteroscedasticity  

Science Conference Proceedings (OSTI)

Statistical tests routinely adopted for detecting nonlinear components in time series rely on the auxiliary regression of ARMA lagged residuals, and the Lagrange multiplier test to detect ARCH components is an example. The size distortion of such test ...

Luigi Grossi; Fabrizio Laurini

2009-04-01T23:59:59.000Z

411

A Quasi-Exact Test for Comparing Two Binomial Proportions  

E-Print Network (OSTI)

of exact, mid-P and score tests for matched case-controlJ. i n dispraise of the exact test', Journal of StatisticalR. R. 'Small-sample tests for homogeneity of response

Karim F. Hirji; Shu-Jane Tau; Robert Elashoff

2011-01-01T23:59:59.000Z

412

Statistical Relationships between Topography and Precipitation Patterns  

Science Conference Proceedings (OSTI)

Statistical relationships between topography and the spatial distribution of mean annual precipitation are developed for ten distinct mountainous regions. These relationships are derived through linear bivariate and multivariate analyses, using ...

Alan Basist; Gerald D. Bell; Vernon Meentemeyer

1994-09-01T23:59:59.000Z

413

Change in Global Temperature: A Statistical Analysis  

Science Conference Proceedings (OSTI)

This paper investigates several issues relating to global climatic change using statistical techniques that impose minimal restrictions on the data. The main findings are as follows: 1) The global temperature increase since the last century is a ...

Gordon R. Richards

1993-03-01T23:59:59.000Z

414

Statistical Principles for Climate Change Studies  

Science Conference Proceedings (OSTI)

Statistical principles underlying fingerprint methods for detecting a climate change signal above natural climate variations and attributing the potential signal to specific anthropogenic forcings are discussed. The climate change problem is ...

Richard A. Levine; L. Mark Berliner

1999-02-01T23:59:59.000Z

415

Statistical models for motion segmentation and tracking  

Science Conference Proceedings (OSTI)

Accurate Statistical Models were recognized as essential for Computer Vision long ago. The main difficulties related to the application of such models are devising the model itself, computing the model parameters, applying the model efficiently, conditioning ...

King Yuen Wong

2005-01-01T23:59:59.000Z

416

Statistical Timing Analysis using Levelized Covariance Propagation  

Science Conference Proceedings (OSTI)

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this paper, we propose a new algorithm for statistical timing analysis using Levelized Covariance Propagation (LCP). ...

Kunhyuk Kang; Bipul C. Paul; Kaushik Roy

2005-03-01T23:59:59.000Z

417

Statistical Description of Radiation Transfer in Clouds  

Science Conference Proceedings (OSTI)

The statistical characteristics of simulated cloud fields constructed based on Poisson point fluxes are studied. The input parameters of mathematical models of cloudiness include the cloud fraction and the mean horizontal size of clouds ...

Georgi A. Titov

1990-01-01T23:59:59.000Z

418

Data Assimilation via Error Subspace Statistical Estimation.  

Science Conference Proceedings (OSTI)

Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The experiments consists of nonlinear, primitive equationbased, idealized Middle Atlantic Bight shelfbreak front ...

P. F. J. Lermusiaux

1999-07-01T23:59:59.000Z

419

Dynamical Properties of Model Output Statistics Forecasts  

Science Conference Proceedings (OSTI)

The dynamical properties of forecasts corrected using model output statistics (MOS) schemes are explored, with emphasis on the respective role of model and initial condition uncertainties. Analytical and numerical investigations of low-order ...

S. Vannitsem; C. Nicolis

2008-02-01T23:59:59.000Z

420

Statistics on Vertical Wind Shear over Oceans  

Science Conference Proceedings (OSTI)

Statistics on boundary layer vertical wind shear were gathered from rawinsonde soundings taken from three small islands and one weather ship. These soundings show a high correlation between surface and 1829 m altitude wind directions. Wind speeds ...

Donald P. Wylie; Barry B. Hinton; Kellie M. Millett

1984-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Statistical mechanics of a cat's cradle  

E-Print Network (OSTI)

cells. In our view, cell mechanics remains at an early stagefor physics Statistical mechanics of a cats cradle Tongyemodel [2, 3] of cell mechanics [7], but here we limit

Shen, Tongye; Wolynes, Peter G

2006-01-01T23:59:59.000Z

422

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,034 million barrels of crude oil proved reserves as of December 31, 1998. This is 7 percent (-1,512 ...

423

Natural Statistical Models for Automatic Speech Recognition  

E-Print Network (OSTI)

The performance of state-of-the-art speech recognition systems is still far worse than that of humans. This is partly caused by the use of poor statistical models. In a general statistical pattern classification task, the probabilistic models should represent the statistical structure unique to and distinguishing those objects to be classified. In many cases, however, model families are selected without verification of their ability to represent vital discriminative properties. For example, Hidden Markov Models (HMMs) are frequently used in automatic speech recognition systems even though they possess conditional independence properties that might cause inaccuracies when modeling and classifying speech signals. In this work, a new method for automatic speech recognition is developed where the natural statistical properties of speech are used to determine the probabilistic model. Starting from an HMM, new models are created by adding dependencies only if they are not already well captured by the HMM, and only if they increase the

Jeffrey Adam Bilmes

1999-01-01T23:59:59.000Z

424

Statistical criteria for characterizing irradiance time series.  

SciTech Connect

We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2010-10-01T23:59:59.000Z

425

4. Natural Gas Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

4. Natural Gas Statistics Dry Natural Gas Proved Reserves The United States had 192,513 billion cubic feet of dry natural gas reserves as of December 31, 2004, a 2

426

Statistics and Dynamics of Persistent Anomalies  

Science Conference Proceedings (OSTI)

Persistent anomalies with recurrent spatial patterns play an important role in the atmosphere's low-frequency variability. We establish a connection between statistical and dynamical methods of description and prediction of persistent anomalies. ...

Kingtse C. Mo; Michael Ghil

1987-03-01T23:59:59.000Z

427

Ensemble Model Output Statistics for Wind Vectors  

Science Conference Proceedings (OSTI)

A bivariate ensemble model output statistics (EMOS) technique for the postprocessing of ensemble forecasts of two-dimensional wind vectors is proposed, where the postprocessed probabilistic forecast takes the form of a bivariate normal probability ...

Nina Schuhen; Thordis L. Thorarinsdottir; Tilmann Gneiting

2012-10-01T23:59:59.000Z

428

Nonlinear Wave Statistics in a Focal Zone  

Science Conference Proceedings (OSTI)

In this paper, the combined effects of refraction and nonlinearity on the evolution of ocean surface wave statistics are considered and possible implications for the likelihood of extreme waves, also known as freak or rogue waves, are examined. A ...

T. T. Janssen; T. H. C. Herbers

2009-08-01T23:59:59.000Z

429

Understanding Manufacturing Energy Use Through Statistical Analysis  

E-Print Network (OSTI)

Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end uses.

Kissock, J. K.; Seryak, J.

2004-01-01T23:59:59.000Z

430

Observations of Breaking Surface Wave Statistics  

Science Conference Proceedings (OSTI)

Breaking surface waves were observed during the Surface Wave Process Program with a novel acoustical instrument that makes use of underwater ambient sound to track individual breaking events. The spatial and temporal statistics of braking waves ...

Li Ding; David M. Farmer

1994-06-01T23:59:59.000Z

431

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 948.446 ... 978.020 986.215 994.888 Virgin Islands, U.S . 0.323 0.323 ...

432

Workforce Statistics - Pantex Field Office | National Nuclear...  

National Nuclear Security Administration (NNSA)

Statistics - Pantex Field Office Pantex Field Office FY12 Semi Annual Report FY11 Year-End Workforce Diversity Report FY10 Semi Annual Report (pdf, 94KB) Year End Summary (pdf, 202...

433

Statistical analysis of correlated fossil fuel securities  

E-Print Network (OSTI)

Forecasting the future prices or returns of a security is extraordinarily difficult if not impossible. However, statistical analysis of a basket of highly correlated securities offering a cross-sectional representation of ...

Li, Derek Z

2011-01-01T23:59:59.000Z

434

Richardson Number Statistics in the Seasonal Thermocline  

Science Conference Proceedings (OSTI)

Statistics of Richardson number in the seasonal thermocline are determined for a simple model and from experiments over the continental shelf. The model consists of normally distributed and uncorrelated density gradient and shear (such as may be ...

Laurie Padman; Ian S. F. Jones

1985-07-01T23:59:59.000Z

435

Women in Physics | Resources/Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

ResourcesStatistics Photo: Women in Physics Resources APS Women in Physics APS, through the Committee on the Status of Women in Physics (CSWP) is committed to encouraging the...

436

Statistics of the Global Tropopause Pressure  

Science Conference Proceedings (OSTI)

Statistics of the global tropopause pressure are evaluated for the period between 1979 and 1993. The analysis is based on gridded data as provided by the ECMWF reanalysis project. The thermal and dynamical definitions of the tropopause are ...

Klaus P. Hoinka

1998-12-01T23:59:59.000Z

437

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 22,446 million barrels of crude oil proved reserves as of December 31, 2001. This is 1.8 percent (401 million barrels ...

438

Statistical Mechanics of Two-dimensional Foams  

E-Print Network (OSTI)

The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.

Marc Durand

2010-09-07T23:59:59.000Z

439

Nonequilibrium quantum statistical mechanics and thermodynamics  

E-Print Network (OSTI)

The purpose of this work is to discuss recent progress in deriving the fundamental laws of thermodynamics (0th, 1st and 2nd-law) from nonequilibrium quantum statistical mechanics. Basic thermodynamic notions are clarified and different reversible and irreversible thermodynamic processes are studied from the point of view of quantum statistical mechanics. Special emphasis is put on new adiabatic theorems for steady states close to and far from equilibrium, and on investigating cyclic thermodynamic processes using an extension of Floquet theory.

Walid K. Abou Salem

2006-01-23T23:59:59.000Z

440

Collecting operational event data for statistical analysis  

SciTech Connect

This report gives guidance for collecting operational data to be used for statistical analysis, especially analysis of event counts. It discusses how to define the purpose of the study, the unit (system, component, etc.) to be studied, events to be counted, and demand or exposure time. Examples are given of classification systems for events in the data sources. A checklist summarizes the essential steps in data collection for statistical analysis.

Atwood, C.L.

1994-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Testing quantum mechanics  

E-Print Network (OSTI)

As experiments continue to push the quantum-classical boundary to include increasingly complex dynamical systems, the interpretation of experimental data becomes more and more challenging: when the observations are noisy, indirect, and limited, how can we be sure that we are observing quantum behavior? This tutorial highlights some of the difficulties in such experimental tests of quantum mechanics, using optomechanics as the central example, and discusses how the issues can be resolved using techniques from statistics and insights from quantum information theory.

Mankei Tsang

2013-06-12T23:59:59.000Z

442

Environmental restoration and statistics: Issues and needs  

Science Conference Proceedings (OSTI)

Statisticians have a vital role to play in environmental restoration (ER) activities. One facet of that role is to point out where additional work is needed to develop statistical sampling plans and data analyses that meet the needs of ER. This paper is an attempt to show where statistics fits into the ER process. The statistician, as member of the ER planning team, works collaboratively with the team to develop the site characterization sampling design, so that data of the quality and quantity required by the specified data quality objectives (DQOs) are obtained. At the same time, the statistician works with the rest of the planning team to design and implement, when appropriate, the observational approach to streamline the ER process and reduce costs. The statistician will also provide the expertise needed to select or develop appropriate tools for statistical analysis that are suited for problems that are common to waste-site data. These data problems include highly heterogeneous waste forms, large variability in concentrations over space, correlated data, data that do not have a normal (Gaussian) distribution, and measurements below detection limits. Other problems include environmental transport and risk models that yield highly uncertain predictions, and the need to effectively communicate to the public highly technical information, such as sampling plans, site characterization data, statistical analysis results, and risk estimates. Even though some statistical analysis methods are available off the shelf'' for use in ER, these problems require the development of additional statistical tools, as discussed in this paper. 29 refs.

Gilbert, R.O.

1991-10-01T23:59:59.000Z

443

Laser photon statistics in the feedback loop  

E-Print Network (OSTI)

A mere correspondence between the electron statistics and the photon one vanishes in the feedback loop (FBL). It means that the direct photodetection, supplying us with the electron statistics, does not provide us with a wished information about the laser photon statistics. For getting this information we should think up another measurement procedure, and we in the article suggest applying the three-level laser as a auxiliary measuring device. This laser has impressive property, namely, its photon statistics survive information about the initial photon statistics of the laser which excites coherently the three-level medium. Thus, if we choose the laser in the FBL as exciting the three-level laser, then we have an possibility to evaluate its initial photon statistics by means of direct detecting the three-level laser emission. Finally, this approach allows us to conclude the feedback is not capable of creating a regularity in the laser light beam. Contrary, the final photon fluctuations turn out to be always even bigger. The mentioned above feature of the three-level laser takes place only for the strong interaction between the lasers (exciting and excited). It means the initial state of the exciting laser is changed dramatically, so our measurement procedure can not be identified with some non-demolition one.

T. Yu. Golubeva; Yu. M. Golubev

2005-04-23T23:59:59.000Z

444

Structure Discovery in Large Semantic Graphs Using Extant Ontological Scaling and Descriptive Statistics  

Science Conference Proceedings (OSTI)

As semantic datasets grow to be very large and divergent, there is a need to identify and exploit their inherent semantic structure for discovery and optimization. Towards that end, we present here a novel methodology to identify the semantic structures inherent in an arbitrary semantic graph dataset. We first present the concept of an extant ontology as a statistical description of the semantic relations present amongst the typed entities modeled in the graph. This serves as a model of the underlying semantic structure to aid in discovery and visualization. We then describe a method of ontological scaling in which the ontology is employed as a hierarchical scaling filter to infer different resolution levels at which the graph structures are to be viewed or analyzed. We illustrate these methods on three large and publicly available semantic datasets containing more than one billion edges each. Keywords-Semantic Web; Visualization; Ontology; Multi-resolution Data Mining;

al-Saffar, Sinan; Joslyn, Cliff A.; Chappell, Alan R.

2011-07-18T23:59:59.000Z

445

Feedforward neural network and adaptive network-based fuzzy inference system in study of power lines  

Science Conference Proceedings (OSTI)

Over the past several decades, concerns have been raised over the possibility that the exposure to extremely low frequency electromagnetic fields from power lines may have harmful effects on human and living organisms. This paper presents novel approach ... Keywords: Adaptive network-based fuzzy inference systems, Electromagnetic fields, Feedforward neural network, Power lines

Jasna Radulovi?; Vesna Rankovi?

2010-01-01T23:59:59.000Z

446

Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce  

Science Conference Proceedings (OSTI)

Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for exploring document collections. Because of the increasing prevalence of large datasets, there is a need to improve the scalability of inference for LDA. In this paper, we introduce ... Keywords: mapreduce, scalability, topic models

Ke Zhai; Jordan Boyd-Graber; Nima Asadi; Mohamad L. Alkhouja

2012-04-01T23:59:59.000Z

447

Joint interaction with embedded concretions: joint loading congurations inferred from propagation paths  

E-Print Network (OSTI)

Joint interaction with embedded concretions: joint loading con®gurations inferred from propagation The interaction between propagating joints and embedded concretions in a Devonian black shale near Seneca Lake, NY, permits identi®cation of the loading con®gurations responsible for two joint sets of dierent ages striking

Engelder, Terry

448

Three centuries of Myanmar monsoon climate variability inferred from teak tree rings  

E-Print Network (OSTI)

Three centuries of Myanmar monsoon climate variability inferred from teak tree rings Rosanne D monsoon extremes critically impact much of the globe's population. Key gaps in our understanding of mon of paleoclimatic records for monsoon Asia. Teak growth is positively correlated with rainfall and Palmer Drought

Ummenhofer, Caroline C.

449

Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full Coalescent Analysis  

E-Print Network (OSTI)

Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full the likelihood of a species tree directly from the markers under a finite-sites model of mutation effectively in an algorithm that allows us to bypass the gene trees and compute species tree likelihoods directly from

Rosenberg, Noah

450

Bayesian inference for multiband image segmentation via model-based cluster trees  

Science Conference Proceedings (OSTI)

We consider the problem of multiband image clustering and segmentation. We propose a new methodology for doing this, called model-based cluster trees. This is grounded in model-based clustering, which bases inference on finite mixture models estimated ... Keywords: Bayesian model, Clustering, Hyperspectral, Information criterion, Information fusion, Ising, Markov model, Multiband, Multichannel, Multispectral, Potts, Quantization, Segmentation

Fionn Murtagh; Adrian E. Raftery; Jean-Luc Starck

2005-06-01T23:59:59.000Z

451

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems  

Science Conference Proceedings (OSTI)

We consider a Bayesian approach to nonlinear inverse problems in which the unknown quantity is a spatial or temporal field, endowed with a hierarchical Gaussian process prior. Computational challenges in this construction arise from the need for repeated ... Keywords: Bayesian inference, Dimensionality reduction, Galerkin projection, Gaussian processes, Inverse problems, Karhunen-Love expansion, Markov chain Monte Carlo, Polynomial chaos, RKHS

Youssef M. Marzouk; Habib N. Najm

2009-04-01T23:59:59.000Z

452

Bayesian Inference for Time Trends in Parameter Values using Weighted Evidence Sets  

SciTech Connect

There is a nearly ubiquitous assumption in PSA that parameter values are at least piecewise-constant in time. As a result, Bayesian inference tends to incorporate many years of plant operation, over which there have been significant changes in plant operational and maintenance practices, plant management, etc. These changes can cause significant changes in parameter values over time; however, failure to perform Bayesian inference in the proper time-dependent framework can mask these changes. Failure to question the assumption of constant parameter values, and failure to perform Bayesian inference in the proper time-dependent framework were noted as important issues in NUREG/CR-6813, performed for the U. S. Nuclear Regulatory Commissions Advisory Committee on Reactor Safeguards in 2003. That report noted that in-dustry lacks tools to perform time-trend analysis with Bayesian updating. This paper describes an applica-tion of time-dependent Bayesian inference methods developed for the European Commission Ageing PSA Network. These methods utilize open-source software, implementing Markov chain Monte Carlo sampling. The paper also illustrates an approach to incorporating multiple sources of data via applicability weighting factors that address differences in key influences, such as vendor, component boundaries, conditions of the operating environment, etc.

D. L. Kelly; A. Malkhasyan

2010-09-01T23:59:59.000Z

453

Knowledge-basedInference Methodsfor Modeling Technical Systems Gerd Kamp and Bernd Neumann  

E-Print Network (OSTI)

, especially for the language ALCF which we have chosen for our system (for a description of ALCF see [6]). 1 resulting concept languageALCF(D) is still decidable. Hence, there exist sound and completeal- gorithms for the above inference services in ALCF(D). To our knowledge,TAXONis the only description logic system

Hamburg,.Universität

454

A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules  

Science Conference Proceedings (OSTI)

This paper presents a characteristic-point-based fuzzy inference system (CPFIS) for fuzzy modeling from training data. The aim of the CPFIS is not only satisfactory precision performance, but also to employ as few purely linguistic fuzzy rules as possible ...

Tang-Kai Yin

2004-04-01T23:59:59.000Z

455

Predictive student model supported by fuzzy-causal knowledge and inference  

Science Conference Proceedings (OSTI)

In this article we explore the paradigm of student-centered education. The aim is to enhance the learning of students by the self-adaptation of a Web-based educational system (WBES). The adaptive system's behavior is achieved as a result of the decisions ... Keywords: Causal relationship, Cognitive map, Fuzzy-causal inference, Student model, Web-based educational system

Alejandro Pea-Ayala; Humberto Sossa-Azuela; Francisco Cervantes-Prez

2012-04-01T23:59:59.000Z

456

Comparison of Regional Clear-Sky Albedos Inferred from Satellite Observations and Model Computations  

Science Conference Proceedings (OSTI)

We have taken an important first step in validating climate models by comparing model and satellite inferred clear sky TOA (top-of-atmosphere) albedos. Model albodos were computed on a 1 1 latitude-longitude grid, allowing for variations in ...

B. P. Briegleb; P. Minnis; V. Ramanathan; E. Harrison

1986-02-01T23:59:59.000Z

457

Identification of chiller model in HVAC system using fuzzy inference rules with Zadeh's implication operator  

Science Conference Proceedings (OSTI)

In the heating, ventilating, and air-conditioning (HVAC) system, chiller is the central part and one of the primary energy consumers. For the purpose of saving energy, the identification of the chiller model is of great significance. In this paper, based ... Keywords: chiller, fuzzy inference system, implication operator, improved genetic algorithm

Yukui Zhang; Shiji Song; Cheng Wu; Kang Li

2010-09-01T23:59:59.000Z

458

Frequency Identification of a Historical Masonry Building Based on the Bayesian Inference  

Science Conference Proceedings (OSTI)

The frequency of historical masonry buildings is difficult to evaluate because of the uncertain nature of the material properties, existing damages and structural configurations. A Markov Chain Monte Carlo (MCMC) method based on the Bayesian Inference ... Keywords: Piezoelectricity, surface acoustic, wave guided wave

Rongliu Gu, Bin Peng, Zhihong Cai

2013-01-01T23:59:59.000Z

459

Bayesian mixtures of common factor analyzers: Model, variational inference, and applications  

Science Conference Proceedings (OSTI)

Recently, a representative approach, named mixtures of common factor analyzers (MCFA), was proposed for clustering high-dimensional observed data. Existing model-parameter estimation methods for this approach is based on the maximum likelihood criterion ... Keywords: Bayesian mixtures of common factor analyzers, Clustering, Dimension reduction, Variational inference

Xin Wei, Chunguang Li

2013-11-01T23:59:59.000Z

460

Identifying 802.11 traffic from passive measurements using iterative Bayesian inference  

E-Print Network (OSTI)

AbstractIn this paper, we propose a classification scheme that differentiates Ethernet and WLAN TCP flows based on measurements collected passively at the edge of a network. This scheme computes two quantities, the fraction of wireless TCP flows and the degree of belief that a TCP flow traverses a WLAN inside the network, using an iterative Bayesian inference algorithm that we developed. We prove that this iterative Bayesian inference algorithm converges to the unique maximum likelihood estimate (MLE) of these two quantities. Furthermore, it has the advantage that it can handle any general-classification problem given the marginal distributions of these classes. Numerical and experimental evaluations demonstrate that our classification scheme obtains accurate results. We apply this scheme to two sets of traces collected from two campus networks: one set collected from UMass in mid 2005 and the other collected from UConn in late 2010. Our technique infers that 4%7 % and 52%55 % of incoming TCP flows traverse an IEEE 802.11 wireless link in these two networks, respectively. Index TermsIEEE 802.11 wireless LAN, iterative Bayesian inference, TCP ACK-pairs, wireless traffic detection.

Wei Wei; Sharad Jaiswal; Jim Kurose; Don Towsley; Kyoungwon Suh; Bing Wang

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

ON THE IMPOSSIBILITY OF INFERRING CAUSATION FROM ASSOCIATION WITHOUT BACKGROUND KNOWLEDGE  

E-Print Network (OSTI)

(PV) make the startling claim that it is possible to infer causal relationships between two vari scientific studies, a for­ mal asymptotic analysis that models the probability of ``no unmeasured common can never be either reliably ruled in or ruled out; furthermore, one should not make the leap from

462

Towards Ontology-based Data Quality Inference in Large-Scale Sensor Networks  

Science Conference Proceedings (OSTI)

This paper presents an ontology-based approach for data quality inference on streaming observation data originating from large-scale sensor networks. We evaluate this approach in the context of an existing river basin monitoring program called the Intelligent ... Keywords: Wireless Sensor Networks, Semantic Web, Distributed Computing

Sam Esswein; Sebastien Goasguen; Chris Post; Jason Hallstrom; David White; Gene Eidson

2012-05-01T23:59:59.000Z

463

Tests for Convergence Clubs  

E-Print Network (OSTI)

?1 has a mixed (heterogeneous) structure, the event of rejecting the null allows for a non zero fraction ? = N1/N of the series to be stationary. However, as Breitung and Pesaran (2008) and Im et al. (2003) note, the test does not provide any guidance... statistic) is removed and the test is performed on the remaining series. This procedure iterates until the unit root null does not reject. At the point of termination, the result is the partition of the series into stationary (S) and nonstationary groups...

Corrado, Luisa; Weeks, Melvyn

2011-01-26T23:59:59.000Z

464

Prediction of the index fund by Takagi-Sugeno fuzzy inference systems and feed-forward neural network  

Science Conference Proceedings (OSTI)

The paper presents (on the basis of passive investment strategies analysis) the design of the Takagi-Sugeno fuzzy inference system and the feed-forward neural network (with pre-processing of inputs time series) for prediction of the index fund. By means ... Keywords: Takagi-Sugeno fuzzy inference systems, feed-forward neural network, index fund, indicators of technical analysis, prediction

Vladr Olej

2006-02-01T23:59:59.000Z

465

Large-Scale cost-based abduction in full-fledged first-order predicate logic with cutting plane inference  

Science Conference Proceedings (OSTI)

Abduction is inference to the best explanation. Abduction has long been studied intensively in a wide range of contexts, from artificial intelligence research to cognitive science. While recent advances in large-scale knowledge acquisition warrant applying ... Keywords: abduction, cost-based abduction, cutting plane inference, integer linear programming

Naoya Inoue; Kentaro Inui

2012-09-01T23:59:59.000Z

466

Inferring immobile and in-situ water saturation from laboratory and field measurements  

DOE Green Energy (OSTI)

Analysis of experimental data and numerical simulation results of dynamic boiling experiments revealed that there is an apparent correlation between the immobile water saturation and the shape of the steam saturation profile. An elbow in the steam saturation profile indicates the sudden drop in steam saturation that marks the transition from steam to two-phase conditions inside the core during boiling. The immobile water saturation can be inferred from this elbow in the steam saturation profile. Based on experimental results obtained by Satik (1997), the inferred immobile water saturation of Berea sandstone was found to be about 0.25, which is consistent with results of relative permeability experiments reported by Mahiya (1999). However, this technique may not be useful in inferring the immobile water saturation of less permeable geothermal rocks because the elbow in the steam saturation profile is less prominent. Models of vapor and liquid-dominated geothermal reservoirs that were developed based on Darcy's law and material and energy conservation equations proved to be useful in inferring the in-situ and immobile water saturations from field measurements of cumulative mass production, discharge enthalpy, and downhole temperature. Knowing rock and fluid properties, and the difference between the stable initial, T{sub o}, and dry-out, T{sub d}, downhole temperatures, the in-situ and immobile water saturations of vapor-dominated reservoirs can be estimated. On the other hand, the in-situ and immobile water saturations, and the change in mobile water content of liquid-dominated reservoirs can be inferred from the cumulative mass production, {Delta}m, and enthalpy, h{prime}, data. Comparison with two-phase, radial flow, numerical simulation results confirmed the validity and usefulness of these models.

Belen, Rodolfo P., Jr.

2000-06-01T23:59:59.000Z

467

Statistical modelling of tropical cyclone tracks: non-normal innovations  

E-Print Network (OSTI)

We present results from the sixth stage of a project to build a statistical hurricane model. Previous papers have described our modelling of the tracks, genesis, and lysis of hurricanes. In our track model we have so far employed a normal distribution for the residuals when computing innovations, even though we have demonstrated that their distribution is not normal. Here, we test to see if the track model can be improved by including more realistic non-normal innovations. The results are mixed. Some features of the model improve, but others slightly worsen.

Hall, T; Hall, Tim; Jewson, Stephen

2005-01-01T23:59:59.000Z

468

Statistical analysis of a silica gel rotary dehumidifier  

SciTech Connect

A regression analysis was conducted on experimental data obtained during the testing of a solid desiccant dehumidifier at the Solar Energy Research Institute (SERI has since been renamed the National Renewable Energy Laboratory). The data obtained was studied using statistical techniques to determine the regression equation for the temperature and humidity at the processed air outlet of the dehumidifier. These variables determine the cooling capacity and efficiency (Coefficient of Performance) of any desiccant cooling cycle. The analysis is used to determine the relative impact the input parameters have on the outlet temperature and humidity.

Kini, A.; Waugaman, D.G.; Kettleborough, C.F. (Texas A and M Univ., College Station (United States))

1993-01-01T23:59:59.000Z

469

C-Mod FY2007 Campaign Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

07 Campaign Statistics 07 Campaign Statistics presented by R. Granetz Alcator C-Mod quarterly review 20 September 2007 C-Mod FY07 run statistics * Budgeted for 60 research days * We completed 98% of the planned research days of operation at the end of August (~ 59 run days). * ~ 1500 plasma discharges * 52 different miniproposals received run time C-Mod 2007 run utilization (in run days) Topic/Group Run Days Original Allocation Pre-Physics* ----------- ------------ -------------------- ------------- LH 13.41 9 2.06 H-mode Scenarios 6.73 6 0 MHD 2.00 6 0 Divertor/Edge 5.28 6 0 Transport 10.94 10 0

470

Tennessee Energy Statistics Quarterly. Second quarter 1984  

SciTech Connect

The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity. The Tennessee Energy Statistics Quarterly has been developed by the Tennessee Energy Data Base Program to serve as a supplement to the Energy Division publication - The Tennessee Energy Profiles: 1960-1980. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. 12 figures, 12 tables.

Finley, T.F. III; Hensley, B.D.; Trotter, T.

1985-01-01T23:59:59.000Z

471

Chesapeake Testing  

Science Conference Proceedings (OSTI)

... Send E-Mail to NVLAP at: NVLAP@nist.gov. Personal Body Armor Testing. ... 7 Ballistic Resistance of Body Armor, Section 7, Ballistic Test Methods. ...

2014-01-03T23:59:59.000Z

472

Structural Testing  

DOE Green Energy (OSTI)

Structural testing at the National Wind Technology Center (NWTC) offers many benefits to wind turbine companies. NWTC includes a new high bay large enough to test any blade expected during the next 5 years. (There are four test bays.) In 1995, NWTC developed a saphisticated data acquisition system, known as the Blade Structural Testing Real-time Acquisition Interface Network (BSTRAIN), to monitor structural testing through 24-hour continuous video surveillance. NWTC recommends ultimate static-strength and fatigue testing, with nondestructive testing in some cases (vibrational testing is covered in a separate information sheet).

NONE

1996-06-01T23:59:59.000Z

473

Independent Statistics & Analysis Drilling Productivity Report  

U.S. Energy Information Administration (EIA) Indexed Site

Independent Statistics & Analysis Independent Statistics & Analysis Drilling Productivity Report The six regions analyzed in this report accounted for nearly 90% of domestic oil production growth and virtually all domestic natural gas production growth during 2011-12. December 2013 For key tight oil and shale gas regions U.S. Energy Information Administration Contents Year-over-year summary 2 Bakken 3 Eagle Ford 4 Haynesville 5 Marcellus 6 Niobrara 7 Permian 8 Explanatory notes 9 Sources 10 Bakken Marcellus Niobrara Haynesville Eagle Ford Permian U. S. Energy Information Administration | Drilling Productivity Report 0 400 800 1,200 1,600 2,000 Bakken Eagle Ford Haynesville

474

Black Hole Thermodynamics and Statistical Mechanics  

E-Print Network (OSTI)

We have known for more than thirty years that black holes behave as thermodynamic systems, radiating as black bodies with characteristic temperatures and entropies. This behavior is not only interesting in its own right; it could also, through a statistical mechanical description, cast light on some of the deep problems of quantizing gravity. In these lectures, I review what we currently know about black hole thermodynamics and statistical mechanics, suggest a rather speculative "universal" characterization of the underlying states, and describe some key open questions.

Steven Carlip

2008-07-28T23:59:59.000Z

475

Statistical Mechanics Model for Protein Folding  

E-Print Network (OSTI)

We present a novel statistical mechanics formalism for the theoretical description of the process of protein folding$\\leftrightarrow$unfolding transition in water environment. The formalism is based on the construction of the partition function of a protein obeying two-stage-like folding kinetics. Using the statistical mechanics model of solvation of hydrophobic hydrocarbons we obtain the partition function of infinitely diluted solution of proteins in water environment. The calculated dependencies of the protein heat capacities upon temperature are compared with the corresponding results of experimental measurements for staphylococcal nuclease and metmyoglobin.

Yakubovich, A V; Greiner, W

2010-01-01T23:59:59.000Z

476

NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS ?  

E-Print Network (OSTI)

The purpose of this work is to discuss recent progress in deriving the fundamental laws of thermodynamics (0 th, 1 st and 2 nd-law) from nonequilibrium quantum statistical mechanics. Basic thermodynamic notions are clarified and different reversible and irreversible thermodynamic processes are studied from the point of view of quantum statistical mechanics. Special emphasis is put on new adiabatic theorems for steady states close to and far from equilibrium, and on investigating cyclic thermodynamic processes using an extension of Floquet theory. This work is based on the authors doctoral thesis, ETH-Diss 16187.

Walid K. Abou Salem

2006-01-01T23:59:59.000Z

477

Modern Statistical Methods for GLAST Event Analysis  

E-Print Network (OSTI)

We describe a statistical reconstruction methodology for the GLAST LAT. The methodology incorporates in detail the statistics of the interactions of photons and charged particles with the tungsten layers in the LAT, and uses the scattering distributions to compute the full probability distribution over the energy and direction of the incident photons. It uses model selection methods to estimate the probabilities of the possible geometrical configurations of the particles produced in the detector, and numerical marginalization over the energy loss and scattering angles at each layer. Preliminary results show that it can improve on the tracker-only energy estimates for muons and electrons incident on the LAT.

Robin D. Morris; Johann Cohen-Tanugi

2007-03-28T23:59:59.000Z

478

Proceedings of the 1981 DOE statistical symposium  

Science Conference Proceedings (OSTI)

The 1981 DOE Statistical Symposium was hosted by Brookhaven National Laboratory. It was the seventh in a series of annual symposia bringing together statisticians and other interested parties who are actively engaged in the pursuit of solving the nation's energy problems. Members of the Steering Committee were Chairman Donald Gardiner, Pamela Doctor, Ron Iman, Nora Smiriga, Ray Waller and Samuel Kao. Two workshops were held this year: Computational Statistics and Risk Assessment. The format of the workshops was structured so that each workshop was preceded by a discussion paper; attendees then had the opportunity to participate in one of the discussion groups which followed.

Van Ryzin, J.; Barletta, D. (comps.)

1982-06-01T23:59:59.000Z

479

Validating surge test standards by field experience: High ...  

Science Conference Proceedings (OSTI)

... review of the statistics of the occurrence of fuse blowing, the use of ... the current in the varis- tor resulting from the three high-energy tests discussed ...

2013-05-17T23:59:59.000Z

480

SAR Imagery Segmentation by Statistical Region Growing and Hierarchical Merging  

SciTech Connect

This paper presents an approach to accomplish synthetic aperture radar (SAR) image segmentation, which are corrupted by speckle noise. Some ordinary segmentation techniques may require speckle filtering previously. Our approach performs radar image segmentation using the original noisy pixels as input data, eliminating preprocessing steps, an advantage over most of the current methods. The algorithm comprises a statistical region growing procedure combined with hierarchical region merging to extract regions of interest from SAR images. The region growing step over-segments the input image to enable region aggregation by employing a combination of the Kolmogorov-Smirnov (KS) test with a hierarchical stepwise optimization (HSWO) algorithm for the process coordination. We have tested and assessed the proposed technique on artificially speckled image and real SAR data containing different types of targets.

Ushizima, Daniela Mayumi; Carvalho, E.A.; Medeiros, F.N.S.; Martins, C.I.O.; Marques, R.C.P.; Oliveira, I.N.S.

2010-05-22T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Department of Pediatrics: Statistical Unit The Department of Pediatrics Statistical Unit provides faculty and trainees in the department  

E-Print Network (OSTI)

Department of Pediatrics: Statistical Unit The Department of Pediatrics Statistical Unit provides as best statistical approaches to analyze data. In addition, the Unit provides assistance with statistical programming languages. The Unit is available to review and edit statistical sections of manuscripts and grant

Kay, Mark A.

482

A Survey of Statistical Network Models  

Science Conference Proceedings (OSTI)

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve ...

Anna Goldenberg; Alice X. Zheng; Stephen E. Fienberg; Edoardo M. Airoldi

2010-02-01T23:59:59.000Z

483

Intelligence and embodiment: A statistical mechanics approach  

Science Conference Proceedings (OSTI)

Evolutionary neuroscience has been mainly dominated by the principle of phylogenetic conservation, specifically, by the search for similarities in brain organization. This principle states that closely related species tend to be similar because they ... Keywords: Embodiment, Intelligence, Movement primitives, Phylogenetic conservation principle, Statistical mechanics

Alejandro Chinea; Elka Korutcheva

2013-04-01T23:59:59.000Z

484

New statistical methods for investigating submarine pockmarks  

Science Conference Proceedings (OSTI)

We investigate the applicability of some novel spatial analysis techniques, developed for studies of astrophysical datasets, to the analysis of spatial point data in sedimentary basins. The techniques are evaluated and compared with standard methods ... Keywords: Pockmarks, Spatial distribution, Statistical methods

Annabel Cartwright; Jennifer Moss; Joe Cartwright

2011-10-01T23:59:59.000Z

485

Statistical Significance of the Sequence Repeats  

E-Print Network (OSTI)

The aim of this work is to approximate the distribution of the number of repeats in biological sequences modelled by Markov chains. Because of the inaccessibility of this distribution, we approximate it thanks to the Chen-Stein method using the poisson distribution. The goal of the application is to find the statistical significance of the repeats in the genome of a biological species.

Narjiss Touyar Helene; Helene Dauchel; Dominique Cellier; Sophie Schbath

2003-01-01T23:59:59.000Z

486

Tennessee energy statistics quarterly. Second quarter 1982  

Science Conference Proceedings (OSTI)

This report presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. (PSB)

Not Available

1982-10-01T23:59:59.000Z

487

George Ostrouchov Statistics and Data Sciences Group  

E-Print Network (OSTI)

Statistical Association, 2010 Certificate of Appreciation from US Undersecretary of Energy "For exemplary on behalf of the Department of Energy's Office of Science", 2007 Martin Marietta Energy Systems government, DC, June 16-18, 2003. 2 #12;Program Committee: 6th International Workshop on High Performance Data

488

Monitoring Large Systems Via Statistical Sampling  

Science Conference Proceedings (OSTI)

As the trend in parallel systems scales toward petaflop performance tapped by advances in circuit density and by an increasingly available computational Grid, the development of efficient mechanisms for monitoring large systems becomes imperative. When ... Keywords: Large systems, performance monitoring, statistical sampling

Celso L. Mendes; Daniel A. Reed

2004-05-01T23:59:59.000Z

489

Controlling statistical properties of stored light  

E-Print Network (OSTI)

Statistical properties of outgoing light pulses are studies after they have been stored in a medium of atoms in the tripod configuration. A generalized Hong-Ou-Mandel interference, storing of squeezed states and homodyne signal analysis are discussed in the context of their dependence on the parameters of the control fields used for light storage and release.

A. Raczynski; K. Slowik; J. Zaremba; S. Zielinska-Kaniasty

2007-04-23T23:59:59.000Z

490

Climatology of Non-Gaussian Atmospheric Statistics  

Science Conference Proceedings (OSTI)

A common assumption in the earth sciences is the Gaussianity of data over time. However, several independent studies in the past few decades have shown this assumption to be mostly false. To be able to study non-Gaussian climate statistics, one ...

Maxime Perron; Philip Sura

2013-02-01T23:59:59.000Z

491

Intelligent Transportation Systems Deployment Statistics Database  

E-Print Network (OSTI)

, transportation agencies in 108 metropolitan areas involved with freeway, arterial, and transit management, public to insights regarding future program changes, redefinition of goals, or maintenance of current program Aviation Safety Air Traffic Management Analysis Data, Statistical Analysis Geo-Spatial Information Tools

492

Statistical Performance of Several Mesoscale Atmospheric Dispersion Models  

Science Conference Proceedings (OSTI)

Seventeen mesoscale dispersion models were statistically evaluated with data from krypton-85 emissions from the Savannah River Plant, Aiken, SC. Widely accepted statistical parameters were used for the statistical evaluation. The models were able ...

A. H. Weber; M. R. Buckner; J. H. Weber

1982-11-01T23:59:59.000Z

493

Forecast-Error Statistics for Homogeneous and Inhomogeneous Observation Networks  

Science Conference Proceedings (OSTI)

Objective analysis procedures such as statistical interpolation require reliable estimates of forecast-error statistics in order to optimize the analysis weights. Reasonably good estimates of the forecast-error statistics can be obtained from ...

Roger Daley

1992-04-01T23:59:59.000Z

494

Methods for Integrated Leak Detection Inference at CO2 Sequestration Sites  

NLE Websites -- All DOE Office Websites (Extended Search)

Methods for Integrated Leak Detection Inference at CO2 Sequestration Sites Methods for Integrated Leak Detection Inference at CO2 Sequestration Sites Speaker(s): Mitchell Small Date: March 23, 2010 - 12:00pm Location: 90-3122 This seminar will explain a methodology for combining site characterization and soil CO2 monitoring for detecting leaks at geologic CO2 sequestration sites. Near surface CO2 fluxes resulting from a leak are simulated using the TOUGH2 model for different values of soil permeability, leakage rate and vadose zone thickness. Natural background soil CO2 flux rates are characterized by a Bayesian hierarchical model that predicts the background flux as a function of soil temperature. A presumptive leak is assumed if the monitored flux rate exceeds a critical value corresponding to a very high (e.g., 99%) prediction interval for the natural flux conditioned on

495

A new method for multinomial inference using Dempster-Shafer theory  

SciTech Connect

A new method for multinomial inference is proposed by representing the cell probabilities as unordered segments on the unit interval and following Dempster-Shafer (DS) theory. The resulting DS posterior is then strengthened to improve symmetry and learning properties with the final posterior model being characterized by a Dirichlet distribution. In addition to computational simplicity, the new model has desirable invariance properties related to category permutations, refinements, and coarsenings. Furthemore, posterior inference on relative probabilities amongst certain cells depends only on data for the cells in question. Finally, the model is quite flexible with regard to parameterization and the range of testable assertions. Comparisons are made to existing methods and illustrated with two examples.

Lawrence, Earl Christopher [Los Alamos National Laboratory; Vander Wiel, Scott [Los Alamos National Laboratory; Liu, Chuanhai [PURDUE UNIV; Zhang, Jianchun [PURDUE UNIV

2009-01-01T23:59:59.000Z

496

Evidence cross-validation and Bayesian inference of MAST plasma G. T. von Nessi, M. J. Hole, J. Svensson, and L. Appel  

E-Print Network (OSTI)

Evidence cross-validation and Bayesian inference of MAST plasma equilibria G. T. von Nessi, M. J cross-validation and Bayesian inference of MAST plasma equilibria G. T. von Nessi,1,a) M. J. Hole,1 J enable a good agree- ment between Bayesian inference of the last-closed flux-surface with other

497

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 112.4 107.7 103.5 96.5 ...

498

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 103.3 106.4 107.0 112.4 ...

499

Workforce Statistics - Kansas City Field Office | National Nuclear...  

National Nuclear Security Administration (NNSA)

- Kansas City Field Office Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - Kansas City...

500

RITA-Bureau of Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

RITA-Bureau of Transportation Statistics Jump to: navigation, search Name RITA-Bureau of Transportation Statistics AgencyCompany Organization United States Department of...