18.441 Statistical Inference, Spring 2002
Hardy, Michael
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 ...
Statistics and Causal Inference PAUL W. HOLLAND*
Fitelson, Branden
Statistics and Causal Inference PAUL W. HOLLAND* Problems involving causal inference have dogged conclusions drawn from a carefully designed experiment are often valid. What can a statistical model say about in the most unexpected places, for example, "If the statistics cannot relate cause and effect, they can
Nuclear Forensic Inferences Using Iterative Multidimensional Statistics
Robel, M; Kristo, M J; Heller, M A
2009-06-09T23:59:59.000Z
Nuclear forensics involves the analysis of interdicted nuclear material for specific material characteristics (referred to as 'signatures') that imply specific geographical locations, production processes, culprit intentions, etc. Predictive signatures rely on expert knowledge of physics, chemistry, and engineering to develop inferences from these material characteristics. Comparative signatures, on the other hand, rely on comparison of the material characteristics of the interdicted sample (the 'questioned sample' in FBI parlance) with those of a set of known samples. In the ideal case, the set of known samples would be a comprehensive nuclear forensics database, a database which does not currently exist. In fact, our ability to analyze interdicted samples and produce an extensive list of precise materials characteristics far exceeds our ability to interpret the results. Therefore, as we seek to develop the extensive databases necessary for nuclear forensics, we must also develop the methods necessary to produce the necessary inferences from comparison of our analytical results with these large, multidimensional sets of data. In the work reported here, we used a large, multidimensional dataset of results from quality control analyses of uranium ore concentrate (UOC, sometimes called 'yellowcake'). We have found that traditional multidimensional techniques, such as principal components analysis (PCA), are especially useful for understanding such datasets and drawing relevant conclusions. In particular, we have developed an iterative partial least squares-discriminant analysis (PLS-DA) procedure that has proven especially adept at identifying the production location of unknown UOC samples. By removing classes which fell far outside the initial decision boundary, and then rebuilding the PLS-DA model, we have consistently produced better and more definitive attributions than with a single pass classification approach. Performance of the iterative PLS-DA method compared favorably to that of classification and regression tree (CART) and k nearest neighbor (KNN) algorithms, with the best combination of accuracy and robustness, as tested by classifying samples measured independently in our laboratories against the vendor QC based reference set.
Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,*
Mora, Thierry
Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,* Charles K. Fisher,1 Thierry Mora June 2014; published 3 October 2014) The deep connection between thermodynamics, computation that thermodynamics also places fundamental constraints on statistical estimation and learning. To do so, we
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
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.
Minfer: Inferring Motif Statistics From Sampled Edges
Wang, Pinghui; Towsley, Don
2015-01-01T23:59:59.000Z
Characterizing motif (i.e., locally connected subgraph patterns) statistics is important for understanding complex networks such as online social networks and communication networks. Previous work made the strong assumption that the graph topology of interest is known, and that the dataset either fits into main memory or stored on disks such that it is not expensive to obtain all neighbors of any given node. In practice, researchers have to deal with the situation where the graph topology is unknown, either because the graph is dynamic, or because it is expensive to collect and store all topological and meta information on disk. Hence, what is available to researchers is only a snapshot of the graph generated by sampling edges from the graph at random, which we called a "RESampled graph". Clearly, a RESampled graph's motif statistics may be quite different from the underlying original graph. To solve this challenge, we propose a framework and implement a system called Minfer, which can take the given RESample...
Statistical inference for density dependent Markovian forestry models
Paris-Sud XI, UniversitÃ© de
Statistical inference for density dependent Markovian forestry models Abstract A stochastic forestry model with a density-dependence structure is studied. The population evolves in discrete roughly speaking, becomes large. From the perspective of the analysis of forestry data and predict
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
Anandkumar, Animashree
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference Animashree--The problem of minimum cost in-network fusion of measurements, collected from distributed sensors via multihop, which implies that any Steiner- tree approximation can be employed for minimum cost fusion with the same
Principles of Statistical Inference Department of Statistics, University of Toronto, Canada
Reid, Nancy
and D. R. Cox Nuffield College, Oxford, UK Abstract Statistical theory aims to provide a foundationPrinciples of Statistical Inference N. Reid Department of Statistics, University of Toronto, Canada, and a common language for summarizing results; ideally the foundations and common language ensure
December 2000 A STATISTICAL TEST
December 2000 A STATISTICAL TEST SUITE FOR RANDOM AND PSEUDORANDOM NUMBER GENERATORS challenges in authentication protocols. NIST Special Publication (SP) 800-22, A Statistical Test Suite testing of random number and pseudorandom number generators (RNGs and PRNGs) that may be used for many
Statistical Inference for Big Data Problems in Molecular Biophysics
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
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.
Optimum Statistical Test Procedure
Rajesh Singh; Jayant Singh; Florentin Smarandache
2009-04-10T23:59:59.000Z
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.
Pearson's Goodness of Fit Statistic as a Score Test Statistic
Smyth, Gordon K.
Pearson's Goodness of Fit Statistic as a Score Test Statistic Gordon K. Smyth Abstract For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing and the residual deviance is therefore the relationship between the score test and the likelihood ratio test
Math 341 Probability and Statistical Inference Winter 2010 Instructor Dr. Amites Sarkar
Sarkar, Amites
Math 341 Probability and Statistical Inference Winter 2010 Instructor Dr. Amites Sarkar Text, Thursdays and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar
Math 341 Probability and Statistical Inference Summer 2009 Instructor Dr. Amites Sarkar
Sarkar, Amites
Math 341 Probability and Statistical Inference Summer 2009 Instructor Dr. Amites Sarkar Text, Wednesdays and Thursdays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar
Spatial Autocorrelation and Statistical Tests: Some Solutions
Fortin, Marie Josee
.fortin@utoronto.ca). 188 © 2009 American Statistical Association and the International Biometric Society JournalSpatial Autocorrelation and Statistical Tests: Some Solutions Mark R. T. DALE and Marie problem in analysis, affecting the significance rates of statistical tests, making them too liberal when
A time varying GARCH (p, q) model and related statistical inference
Bandyopadhyay, Antar
A time varying GARCH (p, q) model and related statistical inference Technical Report No: ISINE Institute North-East Centre, Tezpur, Assam-784028 #12;A time varying GARCH (p, q) model and related varying GARCH (tvGARCH (p, q)) model and consider certain related inferential problems. A two-step local
Title of dissertation: STATISTICAL INFERENCE BASED ON ESTIMATING FUNCTIONS IN EXACT
Yorke, James
ABSTRACT Title of dissertation: STATISTICAL INFERENCE BASED ON ESTIMATING FUNCTIONS IN EXACT AND MISSPECIFIED MODELS Ryan Janicki, Doctor of Philosophy, 2009 Dissertation directed by: Professor Abram Kagan in Exact and Misspecified Models by Ryan Janicki Dissertation submitted to the Faculty of the Graduate
Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers
Washington at Seattle, University of
Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers ¨Ozg¨ur C University of Washington 2004 Program Authorized to Offer Degree: Electrical Engineering #12;#12;University: Mari Ostendorf Reading Committee: Mari Ostendorf Jeffrey A. Bilmes Maya R. Gupta Date: #12;#12;In
Equi-energy sampler with applications in statistical inference and statistical mechanics
S. C. Kou; Qing Zhou; Wing Hung Wong
2006-11-08T23:59:59.000Z
We introduce a new sampling algorithm, the equi-energy sampler, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods, the equi-energy sampler, utilizing the temperature--energy duality, targets the energy directly. The focus on the energy function not only facilitates efficient sampling, but also provides a powerful means for statistical estimation, for example, the calculation of the density of states and microcanonical averages in statistical mechanics. The equi-energy sampler is applied to a variety of problems, including exponential regression in statistics, motif sampling in computational biology and protein folding in biophysics.
Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model
Mazumdar, Mainak
Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model reliabilities. An operational test procedure is considered in which only the individual modules are tested and the system is considered acceptable if, and only if, no failures are observed. The minimum number of tests
Testing the Role of Source Credibility on Memory for Inferences
Guillory, Jimmeka Joy
2012-10-19T23:59:59.000Z
that may be elusive and difficult to change. Although the persistence of inferences in memory has been demonstrated in a growing number of previous studies (Wilkes & Leatherbarrow 1988; Johnson & Seifert 1994, 1999; Wilkes & Reynolds, 1999; Guillory... people are initially hesitant to take prescribed steroids or even medical marijuana because of the negative stigma or image portrayed in the media. These people are affected by their early interpretations of the drugs and have a hard time updating...
Statistical Analysis of Transient Cycle Test Results in a 40...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Analysis of Transient Cycle Test Results in a 40 CFR Part 1065 Engine Dynamometer Test Cell Statistical Analysis of Transient Cycle Test Results in a 40 CFR Part 1065 Engine...
Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks
Noor, Amina
2013-12-10T23:59:59.000Z
Inferring gene regulatory networks (GRNs) is of profound importance in the ?eld of computational biology and bioinformatics. Understanding the gene-gene and gene- transcription factor (TF) interactions has the potential of providing an insight...
Book Reviews 567 The Elements of Statistical Learning: Data Mining, Inference, and
Tibshirani, Robeert
. In a stimulating arti- cle, Breiman (2001) argued that statistics has been focused too much on a "data modeling that the courses offered by most statistics departments include little, if any, treatment of statistical learning is to discover types of products often purchased together. Such knowledge can be used to develop marketing
Testing Photons' Bose-Einstein Statistics With Compton Scattering
Brett Altschul
2010-08-27T23:59:59.000Z
It is an empirical question whether photons always obey Bose-Einstein statistics, but devising and interpreting experimental tests of photon statistics can be a challenge. The nonrelativistic cross section for Compton scattering illustrates how a small admixture nu of wrong-sign statistics leads to a loss of gauge invariance; there is a large anomalous amplitude for scattering timelike photons. Nevertheless, one can interpret the observed transparency of the solar wind plasma at low frequencies as a bound nu < 10^(-25) if Lorentz symmetry is required. If there is instead a universal preferred frame, the bound is nu < 10^(-14), still strong compared with previous results.
Fracture testing of Edwards limestone: a statistical treatment
Redding, David Earl
1993-01-01T23:59:59.000Z
Parameters. . 21 8. Goodness-of-Fit Statistic (Alpha) for Rubber Fracture Testing of Edwards Limestone. . 9. Sum of Square Residuals for Predicted Geometry vs. Base Geometry. . 38 10. Residuals in Sigma Theta Maximum at the Median Probability Value... for Predicted Geometry vs. Base Geometry. . 38 LIST OF FIGURES Figure 1. Rubber Fracture Test Geometry. Page 2. Hollow Brass Cylinder Calibration. 13 3. Sigma Theta Max vs. Volume. . 18 4A. Cumulative Probability vs. Sigma Theta Max. Rubber Fracture...
C. Cafaro; S. A. Ali
2008-10-25T23:59:59.000Z
In this paper, we review our novel information geometrodynamical approach to chaos (IGAC) on curved statistical manifolds and we emphasize the usefulness of our information-geometrodynamical entropy (IGE) as an indicator of chaoticity in a simple application. Furthermore, knowing that integrable and chaotic quantum antiferromagnetic Ising chains are characterized by asymptotic logarithmic and linear growths of their operator space entanglement entropies, respectively, we apply our IGAC to present an alternative characterization of such systems. Remarkably, we show that in the former case the IGE exhibits asymptotic logarithmic growth while in the latter case the IGE exhibits asymptotic linear growth. At this stage of its development, IGAC remains an ambitious unifying information-geometric theoretical construct for the study of chaotic dynamics with several unsolved problems. However, based on our recent findings, we believe it could provide an interesting, innovative and potentially powerful way to study and understand the very important and challenging problems of classical and quantum chaos.
Inferring statistics of planet populations by means of automated microlensing searches
M. Dominik; U. G. Jorgensen; K. Horne; Y. Tsapras; R. A. Street; L. Wyrzykowski; F. V. Hessman; M. Hundertmark; S. Rahvar; J. Wambsganss; G. Scarpetta; V. Bozza; S. Calchi Novati; L. Mancini; G. Masi; J. Teuber; T. C. Hinse; I. A. Steele; M. J. Burgdorf; S. Kane
2008-07-31T23:59:59.000Z
(abridged) The study of other worlds is key to understanding our own, and not only provides clues to the origin of our civilization, but also looks into its future. Rather than in identifying nearby systems and learning about their individual properties, the main value of the technique of gravitational microlensing is in obtaining the statistics of planetary populations within the Milky Way and beyond. Only the complementarity of different techniques currently employed promises to yield a complete picture of planet formation that has sufficient predictive power to let us understand how habitable worlds like ours evolve, and how abundant such systems are in the Universe. A cooperative three-step strategy of survey, follow-up, and anomaly monitoring of microlensing targets, realized by means of an automated expert system and a network of ground-based telescopes is ready right now to be used to obtain a first census of cool planets with masses reaching even below that of Earth orbiting K and M dwarfs in two distinct stellar populations, namely the Galactic bulge and disk. The hunt for extra-solar planets acts as a principal science driver for time-domain astronomy with robotic-telescope networks adopting fully-automated strategies. Several initiatives, both into facilities as well as into advanced software and strategies, are supposed to see the capabilities of gravitational microlensing programmes step-wise increasing over the next 10 years. New opportunities will show up with high-precision astrometry becoming available and studying the abundance of planets around stars in neighbouring galaxies becoming possible. Finally, we should not miss out on sharing the vision with the general public, and make its realization to profit not only the scientists but all the wider society.
Kambhampati, Patanjali
#12;THE `TEST STATISTICS REPORT' provides a synopsis of the test attributes and some important statistics. A sample is shown here to the right. The Test reliability indicators are measures of how well: Are formulae for testing reliability as a measure of internal consistency. Higher values indicate a stronger
Kirchner, James W.
Inferring catchment precipitation by doing hydrology backward: A test in 24 small and mesoscale September 2012; published 10 October 2012. [1] The complexity of hydrological systems and the necessary simplification of models describing these systems remain major challenges in hydrological modeling. Kirchner
Statistical analysis of test data for APM rod issue
Edwards, T.B.; Harris, S.P.; Reeve, C.P.
1992-05-01T23:59:59.000Z
The uncertainty associated with the use of the K-Reactor axial power monitors (APMs) to measure roof-top-ratios is investigated in this report. Internal heating test data acquired under both DC-flow conditions and AC-flow conditions have been analyzed. These tests were conducted to simulate gamma heating at the lower power levels planned for reactor operation. The objective of this statistical analysis is to investigate the relationship between the observed and true roof-top-ratio (RTR) values and associated uncertainties at power levels within this lower operational range. Conditional on a given, known power level, a prediction interval for the true RTR value corresponding to a new, observed RTR is given. This is done for a range of power levels. Estimates of total system uncertainty are also determined by combining the analog-to-digital converter uncertainty with the results from the test data.
STATISTICS, HANDLE WITH CARE: DETECTING MULTIPLE MODEL COMPONENTS WITH THE LIKELIHOOD RATIO TEST
Masci, Frank
STATISTICS, HANDLE WITH CARE: DETECTING MULTIPLE MODEL COMPONENTS WITH THE LIKELIHOOD RATIO TEST Rostislav Protassov and David A. van Dyk Department of Statistics, Harvard University, 1 Oxford Street-distributions in many statistical tests common in astrophysics, thereby casting many marginal line or source detections
Development and testing of improved statistical wind power forecasting methods.
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
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.
Consistency testing of models used to infer rainfall from TRMM passive microwave observations
Bellows, Christopher Timothy
1999-01-01T23:59:59.000Z
The algorithms used for the retrieval of rainfall are based on physical modeling. One of the by-products of the algorithm is an estimate of the freezing level. Using observations from the TRMM precipitation radar, we can infer the freezing level...
and joint testing of temporal and spatial patterns in Climate Change Jean-Marc AzaÃ¯s, AurÃ©lien Ribes, JournÃ©es climat, Orsay 28 et 29 Janvier 2010 #12;Example: the Mediterranean basin Statistical ModelExample: the Mediterranean basin Statistical Model Estimation Hypothesis testing Estimation
Allen, J; Velsko, S
2009-11-16T23:59:59.000Z
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.
Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model
Staggs, Vincent
2009-04-29T23:59:59.000Z
approximation of the test statistic distribution by some known distribution, and may not perform well under small samples. The parametric bootstrap interval is presented as an alternative to standard methods of inference. Several parametric bootstrap intervals...
Statistical Alignment: Computational Properties, Homology Testing and Goodness-of-Fit
Hein, Jotun
presented by Thorne, Kishino and Felsenstein can be simpli®ed. Two proteins, about 1500 amino acids long. This test has statistical advantages relative to the traditional shuf¯e test for proteins. Finally, we that the statistical approach to alignment is computationally too slow and partly due to the lack of user-friendly pro
Symmetry of Nonparametric Statistical Tests on Three Samples Anna E. Bargagliotti Donald G. Saari
Stanford, Kyle
Symmetry of Nonparametric Statistical Tests on Three Samples Anna E. Bargagliotti Donald G. Saari Saari's research was supported, in part, by NSF DMS 0631362. 1 #12;establishes that data sets exist of voting rules" (Saari 1989), Haunsperger created her "dictionaries for nonparametric statistical rules
Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...
Steffen, Jason H. [Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510 (United States); Ford, Eric B. [Astronomy Department, University of Florida, 211 Bryant Space Sciences Center, Gainesville, FL 32111 (United States); Rowe, Jason F.; Borucki, William J.; Bryson, Steve; Caldwell, Douglas A.; Jenkins, Jon M.; Koch, David G.; Sanderfer, Dwight T.; Seader, Shawn; Twicken, Joseph D. [NASA Ames Research Center, Moffett Field, CA 94035 (United States); Fabrycky, Daniel C. [UCO/Lick Observatory, University of California, Santa Cruz, CA 95064 (United States); Holman, Matthew J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Welsh, William F. [Astronomy Department, San Diego State University, San Diego, CA 92182-1221 (United States); Batalha, Natalie M. [Department of Physics and Astronomy, San Jose State University, San Jose, CA 95192 (United States); Ciardi, David R. [NASA Exoplanet Science Institute/California Institute of Technology, Pasadena, CA 91125 (United States); Kjeldsen, Hans [Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C (Denmark); Prsa, Andrej, E-mail: jsteffen@fnal.gov [Department of Astronomy and Astrophysics, Villanova University, 800 East Lancaster Avenue, Villanova, PA 19085 (United States)
2012-09-10T23:59:59.000Z
We analyze the deviations of transit times from a linear ephemeris for the Kepler Objects of Interest (KOI) through quarter six of science data. We conduct two statistical tests for all KOIs and a related statistical test for all pairs of KOIs in multi-transiting systems. These tests identify several systems which show potentially interesting transit timing variations (TTVs). Strong TTV systems have been valuable for the confirmation of planets and their mass measurements. Many of the systems identified in this study should prove fruitful for detailed TTV studies.
Statistical Inference in Inverse Problems
Xun, Xiaolei
2012-07-16T23:59:59.000Z
of application. Li et al. (2002) 24 studied a pharmacokinetic model and proposed a semiparametric approach for esti- mating time-varying coefficients in an ODE model. Ramsay et al. (2007) proposed a generalized smoothing approach, named parameter cascading...
Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares
Kwok, James Tin-Yau
Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares Shutao Li1 , Chen Clear Water Bay, Hong Kong shutao li@yahoo.com.cn, lc337199@sina.com, jamesk@cs.ust.hk Abstract. In this paper, we propose a gene extraction method by us- ing two standard feature extraction methods, namely
Parzen, Michael
an institution (a hospital or clinic). In such clinical trials, it has often occurred that outcomes of patientsDoes Clustering Affect the Usual Test Statistics of no Treatment Effect in a Randomized Clinical South Wales Australia Summary In many clinical trials, such as those undertaken by large cooperative
A statistical comparison of impact and ambient testing results from the Alamosa Canyon Bridge
Doebling, S.W.; Farrar, C.R. [Los Alamos National Lab., NM (United States); Cornwell, P. [Rose Hulman Inst. of Tech., Terre Haute, IN (United States)
1996-12-31T23:59:59.000Z
In this paper, the modal properties of the Alamosa Canyon Bridge obtained using ambient data are compared to those obtained from impact hammer vibration tests. Using ambient sources of excitation to determine the modal characteristics of large civil engineering structures is desirable for several reasons. The forced vibration testing of such structures generally requires a large amount of specialized equipment and trained personnel making the tests quite expensive. Also, an automated health monitoring system for a large civil structure will most likely use ambient excitation. A modal identification procedure based on a statistical Monte Carlo analysis using the Eigensystem Realization Algorithm is used to compute the modal parameters and their statistics. The results show that for most of the measured modes, the differences between the modal frequencies of the ambient and hammer data sets are statistically significant. However, the differences between the corresponding damping ratio results are not statistically significant. Also, one of the modes identified from the hammer test data was not identifiable from the ambient data set.
Testing the statistical isotropy of large scale structure with multipole vectors
Caroline Zunckel; Dragan Huterer; Glenn D. Starkman
2011-09-08T23:59:59.000Z
A fundamental assumption in cosmology is that of statistical isotropy - that the universe, on average, looks the same in every direction in the sky. Statistical isotropy has recently been tested stringently using Cosmic Microwave Background (CMB) data, leading to intriguing results on large angular scales. Here we apply some of the same techniques used in the CMB to the distribution of galaxies on the sky. Using the multipole vector approach, where each multipole in the harmonic decomposition of galaxy density field is described by unit vectors and an amplitude, we lay out the basic formalism of how to reconstruct the multipole vectors and their statistics out of galaxy survey catalogs. We apply the algorithm to synthetic galaxy maps, and study the sensitivity of the multipole vector reconstruction accuracy to the density, depth, sky coverage, and pixelization of galaxy catalog maps.
Confounding Equivalence in Causal Inference
Pearl, Judea; Paz, Azaria
2010-01-01T23:59:59.000Z
July 2010 Confounding Equivalence in Causal Inference Judeawise process of testing c-equivalence, T ? T 1 ? T 2 ? . . .wish to assess, using c-equivalence tests, whether a given
Estimating uncertainty of inference for 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
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.
Gershgorin, B., E-mail: borisg@cims.nyu.ed [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States); Majda, A.J. [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, NY 10012 (United States)
2011-02-20T23:59:59.000Z
A statistically exactly solvable model for passive tracers is introduced as a test model for the authors' Nonlinear Extended Kalman Filter (NEKF) as well as other filtering algorithms. The model involves a Gaussian velocity field and a passive tracer governed by the advection-diffusion equation with an imposed mean gradient. The model has direct relevance to engineering problems such as the spread of pollutants in the air or contaminants in the water as well as climate change problems concerning the transport of greenhouse gases such as carbon dioxide with strongly intermittent probability distributions consistent with the actual observations of the atmosphere. One of the attractive properties of the model is the existence of the exact statistical solution. In particular, this unique feature of the model provides an opportunity to design and test fast and efficient algorithms for real-time data assimilation based on rigorous mathematical theory for a turbulence model problem with many active spatiotemporal scales. Here, we extensively study the performance of the NEKF which uses the exact first and second order nonlinear statistics without any approximations due to linearization. The role of partial and sparse observations, the frequency of observations and the observation noise strength in recovering the true signal, its spectrum, and fat tail probability distribution are the central issues discussed here. The results of our study provide useful guidelines for filtering realistic turbulent systems with passive tracers through partial observations.
Paris-Sud XI, Université de
(earth-dams, dykes, levees) result from overtopping and piping. The breach due to failure generates, the statistics of failure of embankment dams indicates that improvement in the understanding of piping is presented by Richards and Reddy [17]. Piping accounts for 43% of all embankment dam failures, 54% for dams
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
, Journal of the American Statistical Association, Journal of the Royal Statistical Society, StatisticalStatistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36
An empirical comparison of item response theory and classical test theory item/person statistics
Courville, Troy Gerard
2004-11-15T23:59:59.000Z
- and IRT-Based Item Discrimination Indexes (n=1000)................................ 89 TABLE Page 11 Comparability of Item Statistics from the Two Measurement Frameworks: Average Correlations between CTT- and IRT-Based Item... Discrimination Indexes (Point-biserial and Fisher Z Transformed (n=100)......................................... 90 12 Comparability of Item Statistics From the Two Measurement Frameworks: Average Correlations between CTT- and IRT-Based Item...
PRIMA (Prediction Intelligent Machine) is a software platform for testing of advanced statistical
Kemner, Ken
in two programming languages, Python and R. The platform consists of source code without an explicit user of advanced statistical algorithms for short-term wind power forecasting. The platform, which consists of a set of statistical algorithms to generate wind power point and uncertainty forecasts, can be used
3/10/06 R.P.W. Duin 1 Structural inference of sensor-based measurements
Duin, Robert P.W.
3/10/06 R.P.W. Duin 1 Structural inference of sensor-based measurements Hong Kong, August 2006 by means of logic All men are mortal Socrates is a man Socrates is mortal Statistical Inference: Infer knowledge by means of logic All men are mortal Socrates is a man Socrates is mortal Statistical Inference
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
with unknown mean . The reliability of equipment for time t is defined as the probability of failure free. 1100, 1085, 1585, 1602, 1540, 1250 Find ML estimate for reliability of the equipment for 1000 hours. 6 MLE of (µ1, µ2, 2 ). 5. The time to failure of an equipment follows exponential distribution
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
. The time to failure of an equipment follows exponential distribution with unknown mean . The reliability, 1250 Find ML estimate for reliability of the equipment for 1000 hours. 6. Suppose that the random of equipment for time t is defined as the probability of failure free operation up to time t. The following
Statistical methods to infer biological interactions
Tucker, George Jay
2014-01-01T23:59:59.000Z
Biological systems are extremely complex, and our ability to experimentally measure interactions in these systems is limited by inherent noise. Technological advances have allowed us to collect unprecedented amounts of raw ...
ES/STAT 251: SIGNAL & IMAGE PROCESSING AND INFER-ENCE USING WAVELETS (Fall 2005)
Wolfe, Patrick J.
to participants' interests. Graduate-level researchers from all science and engineering disciplines are welcome a problem in inference for signal or image processing. Prerequisites Engineering Sciences 156 or equivalent, knowledge of probability theory and/or statistics at the level of Statistics 110/111 or above
STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011
Schrag, Daniel
STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011 TALK: 4:00 PM -- SCIENCE CENTER RM. 309 RECEPTION Dasgupta Statistics Department Harvard University ABSTRACT A framework for causal inference from two experiments. The framework allows for statistical inference from a finite population, permits definition
statistical planning Journal of Statistical Planning and and inference
Priebe, Carey E.
of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA e-mail: sgarnier, mining, agriculture, or exploration of unknown or hostile environments. In some cases, foraging robots
Statistical Inference for Networks First Practical: R, and network statistics
Reinert, Gesine
. Individual commands may be separated either by a semi-colon (;) or by a new line (i.e.by hitting will then be a comment. If a command is not complete by the end of the line (i.e. when you hit ), the prompt at the next line will be + and will continue on further, subsequent lines until the command is syntactically
Inferences On The Hydrothermal System Beneath The Resurgent Dome...
Usa, From Recent Pumping Tests And Geochemical Sampling Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Inferences On The Hydrothermal System...
Three roads diverged? Routes to phylogeographic inference
Suchard, Marc A.
. Approximate Bayesian computation (ABC): simulation technique used to draw statistical inference based on data Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA 90095, USA 4 Departments of Biomathematics and Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
Haplotype Inference Using a Hidden Markov Model with Efficient Markov Chain Sampling
Neal, Radford M.
of the model are inferred by Bayesian methods, using Markov Chain Monte Carlo (MCMC). Crucial to the efficiencyHaplotype Inference Using a Hidden Markov Model with Efficient Markov Chain Sampling by Shuying Sun Department of Statistics University of Toronto c Copyright by Shuying Sun, 2007 #12;Haplotype Inference Using
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker
Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes it possible to use degradation models and data to make inferences and predictions about
Levine, Daniel S., Ph. D. Massachusetts Institute of Technology
2014-01-01T23:59:59.000Z
In resource-constrained inferential settings, uncertainty can be efficiently minimized with respect to a resource budget by incorporating the most informative subset of observations - a problem known as active inference. ...
Computationally efficient Bayesian inference for inverse problems.
Marzouk, Youssef M.; Najm, Habib N.; Rahn, Larry A.
2007-10-01T23:59:59.000Z
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.
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
Markowitz, Alex; Nikutta, Robert
2014-01-01T23:59:59.000Z
We present an analysis of multi-timescale variability in line-of-sight X-ray absorbing gas as a function of optical classification in a large sample of Seyfert AGN to derive the first X-ray statistical constraints for clumpy-torus models. We systematically search for discrete absorption events in the vast archive of RXTE monitoring of dozens of nearby type I and Compton-thin type II AGN. We are sensitive to discrete absorption events due to clouds of full-covering, neutral or mildly ionized gas with columns <~ 10^(22-25) cm^-2 transiting the line of sight. We detect 12 eclipse events in 8 objects, roughly tripling the number previously published from this archive. Peak column densities span ~ 4-26 x 10^22 cm^-2. Event durations span hours to months. The column density profile for an eclipsing cloud in NGC 3783 is doubly spiked, possibly indicating a cloud that is being tidally sheared. We infer the clouds' distances from the black hole to span ~0.3 -140 x 10^4 R_g. In seven objects, the clouds' distances a...
Springer Series in Statistics Trevor Hastie
Tibshirani, Robeert
of Statistical Learning Data Mining,Inference,and Prediction Second Edition #12;This is page v Printer: Opaque. Additive Models, Trees, and Related Methods 10. Boosting and Additive Trees New example from ecology; some
15.075 Applied Statistics, Spring 2003
Newton, Elizabeth
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...
UNIVERSITY OF CALIFORNIA, SANTA CRUZ DEPARTMENT OF APPLIED MATHEMATICS AND STATISTICS
California at Santa Cruz, University of
of applied mathematics and statistics: calculus, elementary statistics, control theory, fluid dynamics, numerical methods, stochastic modeling, probability theory and statistical inference. Outstanding candidates Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub
Czarnecki, Krzysztof
2012 Beaver Computing Challenge Results Sponsor: 1 #12;Statistics Overall Statistics Number.24/6 Glasses: 1.74/4 Text Machine: 5.54/8 Hierarchical Structure: 2.98/6 Bebrocarina: 2.14/4 Beaver Navigation: 5.06/8 Beaver Pyramid: 3.23/6 Change Direction: 1.45/4 Power Generation: 5.56/8 Rotating Puzzle: 5
Theoretical Basis of Likelihood Methods in Molecular Phylogenetic Inference
Das, Rhiju
for molecular data by the maximum-likelihood approach has been attacked from a theoretical point of view is seen to be a classical statistical problem involving selection between composite hypothesesTheoretical Basis of Likelihood Methods in Molecular Phylogenetic Inference Rhiju Das, Centre
Paris-Sud XI, Université de
: application in the automotive industry Authors: Roy AWEDIKIAN (Corresponding Author) Affiliation 1 Affiliation 2 : Johnson Controls Automotive Electronics Electronics Division Europe Parc Saint Christophe. This approach was tested on two representative case studies from the automotive industry. The experiment
Composable Probabilistic Inference with Blaise
Bonawitz, Keith A
2008-07-23T23:59:59.000Z
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. ...
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics
Seamons, Kent E.
of Statistical Results Stat 330 Introduction to Regression Stat 340 Inference Program Requirements: Complete 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research RecommendedBS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
of Experiments Reliability Bayesian Methods Statistical Computation Statistical Graphics and Visualization Analysis of Measurement Systems Projects Data Analysis System...
Chae, Kyu-Hyun
2015-01-01T23:59:59.000Z
Modified Newtonian dynamics (MOND) provides a paradigm alternative to dark matter that has been successful in fitting and predicting the rich phenomenology of rotating disc galaxies. There have also been attempts to test MOND in dispersion-supported early-type galaxies, but it remains unclear whether MOND can fit the various empirical properties of early-type galaxies. As a way of rigorously testing MOND in elliptical galaxies we calculate the MOND-predicted velocity dispersion profiles (VDPs) in the inner regions of $\\sim 2000$ nearly round SDSS elliptical galaxies under a variety of assumptions on VD anisotropy, and then compare the predicted distribution of VDP slopes with the observed distribution in 11 ATLAS3d galaxies selected with essentially the same criteria. We find that the MOND model parameterised with an interpolating function that works well for rotating galaxies can also reproduce the observed distribution of VDP slopes based only on the observed stellar mass distribution without DM or any othe...
Statistical Laboratory & Department of Statistics
Statistical Laboratory & Department of Statistics Annual Report July 1, 2005 to December 31, 2006...............................................33 Statistical Computing Section ......................................34 CSSM and statistical methodology in the nutritional sciences. We were also very pleased to secure a permanent lecturer
NSTec Environmental Restoration
2009-04-20T23:59:59.000Z
A statistical analysis and geologic evaluation of recently acquired laboratory-derived physical property data are being performed to better understand and more precisely correlate physical properties with specific geologic parameters associated with non-zeolitized tuffs at the Nevada Test Site. Physical property data include wet and dry bulk density, grain density (i.e., specific gravity), total porosity, and effective porosity. Geologic parameters utilized include degree of welding, lithology, stratigraphy, geographic area, and matrix mineralogy (i.e., vitric versus devitrified). Initial results indicate a very good correlation between physical properties and geologic parameters such as degree of welding, lithology, and matrix mineralogy. However, physical properties appear to be independent of stratigraphy and geographic area, suggesting that the data are transferrable with regards to these two geologic parameters. Statistical analyses also indicate that the assumed grain density of 2.65 grams per cubic centimeter used to calculate porosity in some samples is too high. This results in corresponding calculated porosity values approximately 5 percent too high (e.g., 45 percent versus 40 percent), which can be significant in the lower porosity rocks. Similar analyses and evaluations of zeolitic tuffs and carbonate rock physical properties data are ongoing as well as comparisons to geophysical log values.
Price-Whelan, Adrian M.; Agüeros, Marcel A. [Department of Astronomy, Columbia University, 550 W 120th Street, New York, NY 10027 (United States); Fournier, Amanda P. [Department of Physics, Broida Hall, University of California, Santa Barbara, CA 93106 (United States); Street, Rachel [Las Cumbres Observatory Global Telescope Network, Inc., 6740 Cortona Drive, Suite 102, Santa Barbara, CA 93117 (United States); Ofek, Eran O. [Benoziyo Center for Astrophysics, Weizmann Institute of Science, 76100 Rehovot (Israel); Covey, Kevin R. [Lowell Observatory, 1400 West Mars Hill Road, Flagstaff, AZ 86001 (United States); Levitan, David; Sesar, Branimir [Division of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125 (United States); Laher, Russ R.; Surace, Jason, E-mail: adrn@astro.columbia.edu [Spitzer Science Center, California Institute of Technology, Mail Stop 314-6, Pasadena, CA 91125 (United States)
2014-01-20T23:59:59.000Z
Many photometric time-domain surveys are driven by specific goals, such as searches for supernovae or transiting exoplanets, which set the cadence with which fields are re-imaged. In the case of the Palomar Transient Factory (PTF), several sub-surveys are conducted in parallel, leading to non-uniform sampling over its ?20,000 deg{sup 2} footprint. While the median 7.26 deg{sup 2} PTF field has been imaged ?40 times in the R band, ?2300 deg{sup 2} have been observed >100 times. We use PTF data to study the trade off between searching for microlensing events in a survey whose footprint is much larger than that of typical microlensing searches, but with far-from-optimal time sampling. To examine the probability that microlensing events can be recovered in these data, we test statistics used on uniformly sampled data to identify variables and transients. We find that the von Neumann ratio performs best for identifying simulated microlensing events in our data. We develop a selection method using this statistic and apply it to data from fields with >10 R-band observations, 1.1 × 10{sup 9} light curves, uncovering three candidate microlensing events. We lack simultaneous, multi-color photometry to confirm these as microlensing events. However, their number is consistent with predictions for the event rate in the PTF footprint over the survey's three years of operations, as estimated from near-field microlensing models. This work can help constrain all-sky event rate predictions and tests microlensing signal recovery in large data sets, which will be useful to future time-domain surveys, such as that planned with the Large Synoptic Survey Telescope.
Inference in Probabilistic Logic Programs with Continuous Random Variables
Islam, Muhammad Asiful; Ramakrishnan, I V
2011-01-01T23:59:59.000Z
Probabilistic Logic Programming (PLP), exemplified by Sato and Kameya's PRISM, Poole's ICL, Raedt et al's ProbLog and Vennekens et al's LPAD, is aimed at combining statistical and logical knowledge representation and inference. A key characteristic of PLP frameworks is that they are conservative extensions to non-probabilistic logic programs which have been widely used for knowledge representation. PLP frameworks extend traditional logic programming semantics to a distribution semantics, where the semantics of a probabilistic logic program is given in terms of a distribution over possible models of the program. However, the inference techniques used in these works rely on enumerating sets of explanations for a query answer. Consequently, these languages permit very limited use of random variables with continuous distributions. In this paper, we present a symbolic inference procedure that uses constraints and represents sets of explanations without enumeration. This permits us to reason over PLPs with Gaussian...
Inferring population history from genealogies
Lohse, Konrad R.
2010-01-01T23:59:59.000Z
This thesis investigates a range of genealogical approaches to making quantitative inferences about the spatial and demographic history of populations with application to two insect systems: A local radiation of high ...
Bayesian inference algorithm on Raw
Luong, Alda
2004-01-01T23:59:59.000Z
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 ...
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERIC KOLACZYK Department of Statistics Boston University Statistical Analysis of Network Data: (Re)visiting the Foundations MONDAY, October 13, 2014, at 4, statistical methods and modeling have been central to these efforts. But how well do we truly understand
32. Statistics 1 32. STATISTICS
Masci, Frank
32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using's validity or to determine the values of its parameters. There are two main approaches to statistical
Statistical Laboratory & Department of Statistics
by the American Statistical Association. Dean Isaacson and Mark Kaiser were instrumental in garnering a NationalStatistical Laboratory & Department of Statistics Annual Report July 1, 2002 to June 30, 2003 IOWA Chair of the Department of Statistics and Director of the Statistical Laboratory in November, 2002. Dean
Statistical Inference for Models with Intractable Normalizing Constants
Jin, Ick Hoon
2011-06-27T23:59:59.000Z
be calculated by S1(y) = X 1?i
Statistical laws in linguistics
Altmann, Eduardo G
2015-01-01T23:59:59.000Z
Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistically interpreted, fitted, and tested (falsified). The modern availability of large databases of written text allows for tests with an unprecedent statistical accuracy and also a characterization of the fluctuations around the typical behavior. We find that fluctuations are usually much larger than expected based on simplifying statistical assumptions (e.g., independence and lack of correlations between observations).These simplifications appear also in usual statistical tests so that the large fluctuations can be erroneously interpreted as a falsification of the law. Instead, here we argue that linguistic laws are only meaningful (falsifiable) if accompanied by a model for which the fluctuations can be computed (e.g., a generative model of the text). The large fluctuations we report show that the constraints imposed by linguistic laws...
XIAOQIAN SUN As of January 2014 Associate Professor of Statistics
Sun, Xiaoqian
XIAOQIAN SUN As of January 2014 Associate Professor of Statistics Department of Mathematical statistics and Stochastic scheduling PUBLICATIONS: Refereed Journal Publications 1. M. Wang, X. Sun (2013 of Statistical Planning and Inference, ac- cepted for publication 2. M. Wang, J. Zhao, X. Sun and C. Park (2013
Applied Statistics College of Science STAT-BS
Kihara, Daisuke
Applied Statistics College of Science STAT-BS Code-STAP Departmental/Program Major Courses (69/Social Science Written Communication Information Literacy Oral Communication Science Selective Quantitative And Applications (3) STAT 41700 - Statistical Theory or STAT 51700 - Statistical Inference (6-7) Applied STAT
Ramakrishnan, C. R.
in Probabilistic Logic Programs with Continuous Random Variables Muhammad Asiful Islam, C.R. Ramakrishnan, I possible models of the program. Operationally, the combined statistical/logical inference is performedUnder consideration for publication in Theory and Practice of Logic Programming 1 Inference
Formula-Based Probabilistic Inference
Gogate, Vibhav
2012-01-01T23:59:59.000Z
Computing the probability of a formula given the probabilities or weights associated with other formulas is a natural extension of logical inference to the probabilistic setting. Surprisingly, this problem has received little attention in the literature to date, particularly considering that it includes many standard inference problems as special cases. In this paper, we propose two algorithms for this problem: formula decomposition and conditioning, which is an exact method, and formula importance sampling, which is an approximate method. The latter is, to our knowledge, the first application of model counting to approximate probabilistic inference. Unlike conventional variable-based algorithms, our algorithms work in the dual realm of logical formulas. Theoretically, we show that our algorithms can greatly improve efficiency by exploiting the structural information in the formulas. Empirically, we show that they are indeed quite powerful, often achieving substantial performance gains over state-of-the-art s...
Inference for the dark energy equation of state using Type IA supernova data
Christopher Genovese; Peter Freeman; Larry Wasserman; Robert Nichol; Christopher Miller
2009-05-18T23:59:59.000Z
The surprising discovery of an accelerating universe led cosmologists to posit the existence of "dark energy"--a mysterious energy field that permeates the universe. Understanding dark energy has become the central problem of modern cosmology. After describing the scientific background in depth, we formulate the task as a nonlinear inverse problem that expresses the comoving distance function in terms of the dark-energy equation of state. We present two classes of methods for making sharp statistical inferences about the equation of state from observations of Type Ia Supernovae (SNe). First, we derive a technique for testing hypotheses about the equation of state that requires no assumptions about its form and can distinguish among competing theories. Second, we present a framework for computing parametric and nonparametric estimators of the equation of state, with an associated assessment of uncertainty. Using our approach, we evaluate the strength of statistical evidence for various competing models of dark energy. Consistent with current studies, we find that with the available Type Ia SNe data, it is not possible to distinguish statistically among popular dark-energy models, and that, in particular, there is no support in the data for rejecting a cosmological constant. With much more supernova data likely to be available in coming years (e.g., from the DOE/NASA Joint Dark Energy Mission), we address the more interesting question of whether future data sets will have sufficient resolution to distinguish among competing theories.
Statistics applied to safeguards
Picard, R.R.
1993-05-01T23:59:59.000Z
Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - ``perfect`` in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can`t eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger ``population`` of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition ``IAEA Safeguards: Statistical Concepts and Techniques`` and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.
Statistics applied to safeguards
Picard, R.R.
1993-01-01T23:59:59.000Z
Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - perfect'' in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can't eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger population'' of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition IAEA Safeguards: Statistical Concepts and Techniques'' and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.
Global seismic monitoring as probabilistic inference Nimar S. Arora
Russell, Stuart
Global seismic monitoring as probabilistic inference Nimar S. Arora Department of Computer Science of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), primarily through detection and localization of seismic events. We nuclear explosions. A global network of seismic, radionuclide, hydroacoustic, and infrasound sensors
Lee, J.; Elmore, R.; Kennedy, C.; Gray, M.; Jones, W.
2011-09-01T23:59:59.000Z
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.
Zhang, Li-Xin
of Order Statistics Mathematical Statistics Chapter Two. Preliminary on Sampling Distribution #12;Â§2.1 Introduction Â§2.2 Distributions of Samples from a Normal Population Â§2.3 Distributions of Order Statistics Chapter Two. Preliminary on Sampling Distribution The primary objective of StatisticsTo make inferences
Private Inference Control David Woodruff
learning what information is being retrieved. PIC is a generalization of private information retrieval (PIR using PIR (simply omit sensitive information from the database), it is nontrivial to implement inference this problem private information retrieval (PIR) schemes (see, for example, [16, 34]) have been developed
Private Inference Control David Woodru# #
learning what information is being retrieved. PIC is a generalization of private information retrieval (PIR using PIR (simply omit sensitive information from the database), it is nontrivial to implement inference this problem private information retrieval (PIR) schemes (see, for example, [16, 34]) have been developed
An Introduction to Causal Inference*
Spirtes, Peter
An Introduction to Causal Inference* Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I
An Introduction to Causal Inference
Spirtes, Peter
An Introduction to Causal Inference Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I
Phylogenetic Inference Using Whole Genomes
Phylogenetic Inference Using Whole Genomes Bruce Rannala1 and Ziheng Yang2 1 Genome Center.yang@ucl.ac.uk Annu. Rev. Genomics Hum. Genet. 2008. 9:21731 First published online as a Review in Advance on June 3, 2008 The Annual Review of Genomics and Human Genetics is online at genom.annualreviews.org This article
Term statistics Zipf's law text statistics
Lu, Jianguo
Term statistics Zipf's law text statistics October 20, 2014 text statistics 1 / 19 #12;Term statistics Zipf's law Overview 1 Term statistics 2 Zipf's law text statistics 2 / 19 #12;Term statistics Zipf's law Outline 1 Term statistics 2 Zipf's law text statistics 3 / 19 #12;Term statistics Zipf's law Model
Bayesian time series models and scalable inference
Johnson, Matthew James, Ph. D. Massachusetts Institute of Technology
2014-01-01T23:59:59.000Z
With large and growing datasets and complex models, there is an increasing need for scalable Bayesian inference. We describe two lines of work to address this need. In the first part, we develop new algorithms for inference ...
Joachims, Thorsten
]: Learning General Terms Algorithms, Experimentation, Theory Keywords Big Data Pipelines, Modular Design Detection & Recognition pipeline. creation, model construction, testing, and visualization. In orderBeyond Myopic Inference in Big Data Pipelines Karthik Raman, Adith Swaminathan, Johannes Gehrke
Statistical Convergence and Convergence in Statistics
Mark Burgin; Oktay Duman
2006-12-07T23:59:59.000Z
Statistical convergence was introduced in connection with problems of series summation. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with other elements. We show (Section 2) that being mathematically formalized the concept of statistical convergence is directly connected to convergence of such statistical characteristics as the mean and standard deviation. At the same time, it known that sequences that come from real life sources, such as measurement and computation, do not allow, in a general case, to test whether they converge or statistically converge in the strict mathematical sense. To overcome limitations induced by vagueness and uncertainty of real life data, neoclassical analysis has been developed. It extends the scope and results of the classical mathematical analysis by applying fuzzy logic to conventional mathematical objects, such as functions, sequences, and series. The goal of this work is the further development of neoclassical analysis. This allows us to reflect and model vagueness and uncertainty of our knowledge, which results from imprecision of measurement and inaccuracy of computation. In the context on the theory of fuzzy limits, we develop the structure of statistical fuzzy convergence and study its properties.
NoVaS Transformations: Flexible Inference for Volatility Forecasting
Politis, Dimitris N; Thomakos, Dimitrios D
2008-01-01T23:59:59.000Z
NoVaS Transformations: Flexible Inference for VolatilityNoVaS Transformations: Flexible Inference for Volatility
Ali, S A; Giffin, A; Kim, D -H
2012-01-01T23:59:59.000Z
Information geometric techniques and inductive inference methods hold great promise for solving computational problems of interest in classical and quantum physics, especially with regard to complexity characterization of dynamical systems in terms of their probabilistic description on curved statistical manifolds. In this article, we investigate the possibility of describing the macroscopic behavior of complex systems in terms of the underlying statistical structure of their microscopic degrees of freedom by use of statistical inductive inference and information geometry. We review the Maximum Relative Entropy (MrE) formalism and the theoretical structure of the information geometrodynamical approach to chaos (IGAC) on statistical manifolds. Special focus is devoted to the description of the roles played by the sectional curvature, the Jacobi field intensity and the information geometrodynamical entropy (IGE). These quantities serve as powerful information geometric complexity measures of information-constra...
Inference dynamics in transcriptional regulation
Asif, Hafiz Muhammad Shahzad
2012-06-25T23:59:59.000Z
Computational systems biology is an emerging area of research that focuses on understanding the holistic view of complex biological systems with the help of statistical, mathematical and computational techniques. The ...
Sapatinas, Theofanis
Press, Inc., 2009. Minimax Goodness-of-Fit Testing in Multivariate Nonparametric Regression Yu. I framework for goodness-of-fit testing the null hypothesis H0 : f = f0 against the alternative H1 : f F, f of the suggested minimax goodness-of-fit testing methodology, covering the cases of general design schemes
Bayesian Analysis (2006) 1, Number 1, pp. 121144 Variational Inference for Dirichlet Process
Blei, David M.
2006-01-01T23:59:59.000Z
Mixtures David M. Blei Michael I. Jordan Abstract. Dirichlet process (DP) mixture models 2001; Blei et al. 2003). In this paper, we present a variational inference algorithm for DP mixtures, Pittsburgh, PA, http://www.cs.berkeley.edu/~blei/ Department of Statistics and Computer Science Division
From similarity to inference Matthew Weber
Osherson, Daniel
From similarity to inference Matthew Weber Princeton University Daniel Osherson Princeton anonymous referees for constructive commentary. Weber ac- knowledges support from an NSF graduate research
Statistical assessment of Monte Carlo distributional tallies
Kiedrowski, Brian C [Los Alamos National Laboratory; Solomon, Clell J [Los Alamos National Laboratory
2010-12-09T23:59:59.000Z
Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.
Practical Statistics for the LHC
Cranmer, Kyle
2015-01-01T23:59:59.000Z
This document is a pedagogical introduction to statistics for particle physics. Emphasis is placed on the terminology, concepts, and methods being used at the Large Hadron Collider. The document addresses both the statistical tests applied to a model of the data and the modeling itself.
Approximate Inference and Protein-Folding
Weiss, Yair
Approximate Inference and Protein-Folding Chen Yanover and Yair Weiss School of Computer Science Side-chain prediction is an important subtask in the protein-folding problem. We show that #12;nding algorithms, including a widely used protein-folding software (SCWRL). 1 Introduction Inference in graphical
CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE
Borgelt, Christian
CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE WITH PROBABILISTIC NETWORKS 1 INTRODUCTION Abduction is a form of non-deductive logical inference. Examples given by[Peirce, 1958], who is said to have coined the term "abduction", include the following: I once landed at a seaport in a Turkish province
CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE
Borgelt, Christian
CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE WITH PROBABILISTIC NETWORKS 1 INTRODUCTION Abduction is a form of nonÂdeductive logical inference. Examples given by [Peirce, 1958] , who is said to have coined the term ``abduction'', include the following: I once landed at a seaport in a Turkish
Variational inference for Dirichlet process mixtures
Sekhon, Jasjeet S.
Variational inference for Dirichlet process mixtures David M. Blei School of Computer Science Carnegie-Mellon University blei@cs.cmu.edu Michael I. Jordan Computer Science Division and Department, 2001; Blei et al., 2003). In this paper, we present a variational inference algo- rithm for DP mixtures
Four Faculty Positions Applied Statistics & Computational Statistics
Shepp, Larry
Four Faculty Positions Applied Statistics & Computational Statistics The Department of Statistics at the Assistant Professor rank. Two positions are open in the area of Applied Statistics, with a focus on the development of statistical methodology and statistical consulting. The other two positions are open
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary900 SpecialNanoparticulateEmissions Targetson6 Statistical
Information geometric complexity of a trivariate Gaussian statistical model
D. Felice; C. Cafaro; S. Mancini
2014-05-30T23:59:59.000Z
We evaluate the information geometric complexity of entropic motion on low-dimensional Gaussian statistical manifolds in order to quantify how difficult is making macroscopic predictions about a systems in the presence of limited information. Specifically, we observe that the complexity of such entropic inferences not only depends on the amount of available pieces of information but also on the manner in which such pieces are correlated. Finally, we uncover that for certain correlational structures, the impossibility of reaching the most favorable configuration from an entropic inference viewpoint, seems to lead to an information geometric analog of the well-known frustration effect that occurs in statistical physics.
Early word learning through communicative inference
Frank, Michael C., Ph. D. Massachusetts Institute of Technology
2010-01-01T23:59:59.000Z
How do children learn their first words? Do they do it by gradually accumulating information about the co-occurrence of words and their referents over time, or are words learned via quick social inferences linking what ...
Approximate inference in Gaussian graphical models
Malioutov, Dmitry M., 1981-
2008-01-01T23:59:59.000Z
The focus of this thesis is approximate inference in Gaussian graphical models. A graphical model is a family of probability distributions in which the structure of interactions among the random variables is captured by a ...
Bayesian inference of stochastic dynamical models
Lu, Peter Guang Yi
2013-01-01T23:59:59.000Z
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 ...
New methods for econometric inference
Chetverikov, D. N. (Denis Nikolaevich)
2013-01-01T23:59:59.000Z
Monotonicity is a key qualitative prediction of a wide array of economic models derived via robust comparative statics. It is therefore important to design effective and practical econometric methods for testing this ...
J. Mark Heinzle; Claes Uggla
2012-12-21T23:59:59.000Z
In this paper we explore stochastical and statistical properties of so-called recurring spike induced Kasner sequences. Such sequences arise in recurring spike formation, which is needed together with the more familiar BKL scenario to yield a complete description of generic spacelike singularities. In particular we derive a probability distribution for recurring spike induced Kasner sequences, complementing similar available BKL results, which makes comparisons possible. As examples of applications, we derive results for so-called large and small curvature phases and the Hubble-normalized Weyl scalar.
Statistics Department University of California, Berkeley
California at Santa Cruz, University of
John Rice Statistics Department University of California, Berkeley Joint work with Peter Bickel, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how to be a [closet] Bayesian and choose directions a priori. Lehman & Romano. Testing Statistical Hypotheses. Chapt
Inga Maslova Department of Mathematics and Statistics
Lansky, Joshua
Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 EXPERIENCE Professor, American University, D.C. Sept 2009 present "Basic Statistics" (Stat202) "Data, and L.Zhu (2010), Statistical significance testing for the association of the magnetometer records
Optimization-Based Framework for Inferring and Testing Hypothesized
Maranas, Costas
driving the flux distributions in both cases. Interestingly, the CoI associated with a biomass production will (likely) not prevent an organism's ability to produce key components (Edwards and Palsson, 2000b; Price et of primary metabolism. Specifi- cally, are metabolic networks driven to evolve as optimal biomass producers
Testing the Role of Source Credibility on Memory for Inferences
Guillory, Jimmeka Joy
2012-10-19T23:59:59.000Z
affected vehicle sales. In January 2010, automobile manufacturer Toyota announced a recall on eight of their popular models due to faulty gas pedals. According to NPR (http://www.npr.org) after the recall was lifted, Toyota sales dropped 16%, even...
Minimax Rates for Homology Inference
Balakrishnan, Sivaraman; Sheehy, Don; Singh, Aarti; Wasserman, Larry
2011-01-01T23:59:59.000Z
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold are important topological invariants that provide an algebraic summary of the manifold. These groups contain rich topological information, for instance, about the connected components, holes, tunnels and sometimes the dimension of the manifold. In this paper, we consider the statistical problem of estimating the homology of a manifold from noisy samples under several different noise models. We derive upper and lower bounds on the minimax risk for this problem. Our upper bounds are based on estimators which are constructed from a union of balls of appropriate radius around carefully selected points. In each case we establish complementary lower bounds using Le Cam's lemma.
Generalizations of quantum statistics
O. W. Greenberg
2008-05-02T23:59:59.000Z
We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.
Inferring the Gibbs state of a small quantum system
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
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.
Math 308 Topics in Statistics Fall 2012 Time: TuTh 11:45AM -1:05PM, Room: ES 143, SL G03
Reinhold-Larsson, Karin
of fields using a statistical program called R. R is free and very powerful. We will learn how to use is as we study topics in statistics. Topics include: introduction to R, basic commands for inference statistical procedures using technology: R. Be able to discern which statistical methods to use in a variety
Probable Inference and Quantum Mechanics
Grandy, W. T. Jr. [Department of Physics and Astronomy, University of Wyoming, Laramie, WY 82070 (United States)
2009-12-08T23:59:59.000Z
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.
S. A. Ali; C. Cafaro; A. Giffin; D. -H. Kim
2012-02-07T23:59:59.000Z
Information geometric techniques and inductive inference methods hold great promise for solving computational problems of interest in classical and quantum physics, especially with regard to complexity characterization of dynamical systems in terms of their probabilistic description on curved statistical manifolds. In this article, we investigate the possibility of describing the macroscopic behavior of complex systems in terms of the underlying statistical structure of their microscopic degrees of freedom by use of statistical inductive inference and information geometry. We review the Maximum Relative Entropy (MrE) formalism and the theoretical structure of the information geometrodynamical approach to chaos (IGAC) on statistical manifolds. Special focus is devoted to the description of the roles played by the sectional curvature, the Jacobi field intensity and the information geometrodynamical entropy (IGE). These quantities serve as powerful information geometric complexity measures of information-constrained dynamics associated with arbitrary chaotic and regular systems defined on the statistical manifold. Finally, the application of such information geometric techniques to several theoretical models are presented.
Automatic transformations in the inference process
Veroff, R. L.
1980-07-01T23:59:59.000Z
A technique for incorporating automatic transformations into processes such as the application of inference rules, subsumption, and demodulation provides a mechanism for improving search strategies for theorem proving problems arising from the field of program verification. The incorporation of automatic transformations into the inference process can alter the search space for a given problem, and is particularly useful for problems having broad rather than deep proofs. The technique can also be used to permit the generation of inferences that might otherwise be blocked and to build some commutativity or associativity into the unification process. Appropriate choice of transformations, and new literal clashing and unification algorithms for applying them, showed significant improvement on several real problems according to several distinct criteria. 22 references, 1 figure.
Myths, misconceptions & mistakes of bias testing
Gould, G.
1996-12-31T23:59:59.000Z
The bias testing philosophy is outlined. The following topics are discussed: statistics - its only tool; testing once; experimental design; sample size; batch-mode testing; outliers; scale bias; and multivariate statistical analysis.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867039 J -Statistics
Statistical abduction with tabulation 1 Taisuke SATO y and Yoshitaka KAMEYA z
Sato, Taisuke
Statistical abduction with tabulation 1 Taisuke SATO y and Yoshitaka KAMEYA z Dept. of Computer. We propose statistical abduction as a firstÂorder logical framework for representing, inferring and learning probabilistic knowledge. It semantically integrates logical abduction with a parameterized dis
The Mathematics of Causal Inference Judea Pearl
California at Los Angeles, University of
, Alexandria, VA: American Statistical Association, 2515-2529, 2013. TECHNICAL REPORT R-416 September 2013 #12 to understanding what reality must be like for a statistical routine to succeed and, second, a commitment the statistical estimand is of the identified effect. Section 4 summarizes mathematical results concerning
Deforestation of Functional Programs through Type Inference
Kent, University of
Deforestation of Functional Programs through Type Inference Olaf Chitil Lehrstuhl fÂ¨ur Informatik II, RWTH Aachen, Germany chitil@informatik.rwth-aachen.de Abstract. Deforestation optimises structures. Short cut deforestation is a deforestation method which is based on a single, local
Graphical models, causal inference, and econometric models
Spirtes, Peter
Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments
WEBPIE: A WEB-SCALE PARALLEL INFERENCE
WEBPIE: A WEB-SCALE PARALLEL INFERENCE ENGINE Jacopo Urbani, Spyros Kotoulas, Jason Maassen, Niels Amsterdam Monday 10 May 2010 #12;The Semantic Web The Semantic Web is an extension of the current Web where the semantics is defined Basically the idea is to move from Web of Documents (Traditional Web) Web of data
Spatial Inference of Nitrate Concentrations in Groundwater
West, Mike
Spatial Inference of Nitrate Concentrations in Groundwater DAWN B. WOODARD, ROBERT L. WOLPERT in groundwater over the mid-Atlantic states, using measurements gathered during a pe- riod of ten years. A map- trations in air, pesticide concentrations in groundwater, or any other quantity that varies over
Inferring Ecological Networks From Species Abundance Data
Edinburgh, University of
(LASSO), Sparse Bayesian Regression (SBR), Graphical Gaussian Models (GGMs) and Bayesian Networks (BNs to thank Marco Grzegorczyk for the answering my question about Bayesian networks and the MCMC methodsInferring Ecological Networks From Species Abundance Data Frank Dondelinger Master of Science
Inferring Ancestral Chloroplast Genomes with Inverted Repeat
Tang, Jijun
Inferring Ancestral Chloroplast Genomes with Inverted Repeat Liying Cui # , Feng Yue + , Claude W 87131 Abstract--- Genome evolution is shaped not only by nucleotide substitutions, but also by structural changes including gene and genome duplications, inserÂ tions/deletions and gene order
FISHERY STATISTICS UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division
Transitive inference in healthy humans and implications for schizophrenia
Zalesak, M. (Martin)
2006-01-01T23:59:59.000Z
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 ...
Lectures on probability and statistics
Yost, G.P.
1984-09-01T23:59:59.000Z
These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.
Partial Abductive Inference in Bayesian Belief Networks: An Evolutionary
Granada, Universidad de
Partial Abductive Inference in Bayesian Belief Networks: An Evolutionary Computation Approach Abductive inference in Bayesian belief networks (BBNs) is intended as the process of generating the K most's variables, this problem is called partial abductive inference. Both problems are NPÂhard, and so exact
Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1
Holder, Lawrence B.
Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1 , Lawrence B. Holder2 , and Diane J@eecs.wsu.edu Abstract We describe an algorithm and experiments for inference of edge replacement graph grammars for inference of Node Replacement Recursive Graph Grammars [7]. In this paper we describe an approach
Inferring Motor Programs from Images of Handwritten Digits
Hinton, Geoffrey E.
Inferring Motor Programs from Images of Handwritten Digits Geoffrey Hinton and Vinod Nair whose stiffnesses are controlled by a motor program. We show how neural networks can be trained to infer the motor programs required to accurately reconstruct the MNIST digits. The inferred motor programs can
Inferring the Rate-Length Law of Protein Folding
Lane, Thomas J
2013-01-01T23:59:59.000Z
We investigate the rate-length scaling law of protein folding, a key undetermined scaling law in the analytical theory of protein folding. We demonstrate that chain length is a dominant factor determining folding times, and that the unambiguous determination of the way chain length corre- lates with folding times could provide key mechanistic insight into the folding process. Four specific proposed laws (power law, exponential, and two stretched exponentials) are tested against one an- other, and it is found that the power law best explains the data. At the same time, the fit power law results in rates that are very fast, nearly unreasonably so in a biological context. We show that any of the proposed forms are viable, conclude that more data is necessary to unequivocally infer the rate-length law, and that such data could be obtained through a small number of protein folding experiments on large protein domains.
Empirical Comparison of Statistical Pavement Performance Models
sections from the American Association of State Highway Officials AASHO Road Test Highway Research BoardEmpirical Comparison of Statistical Pavement Performance Models Chih-Yuan Chu1 and Pablo L. Durango-Cohen2 Abstract: We conduct an empirical comparison of nine representative statistical pavement
Test Automation Test Automation
Mousavi, Mohammad
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
Hinton, Geoffrey E.
. The motivation for Bayesian approaches is reviewed and the theoretical back- ground is presented in a way algorithm. Statistical parametric mapping entails the use of the general linear model and classicalClassical and Bayesian Inference in Neuroimaging: Theory K. J. Friston, W. Penny, C. Phillips, S
Inferring Network Topology from Complex Dynamics
Srinivas Gorur Shandilya; Marc Timme
2010-07-09T23:59:59.000Z
Inferring network topology from dynamical observations is a fundamental problem pervading research on complex systems. Here, we present a simple, direct method to infer the structural connection topology of a network, given an observation of one collective dynamical trajectory. The general theoretical framework is applicable to arbitrary network dynamical systems described by ordinary differential equations. No interference (external driving) is required and the type of dynamics is not restricted in any way. In particular, the observed dynamics may be arbitrarily complex; stationary, invariant or transient; synchronous or asynchronous and chaotic or periodic. Presupposing a knowledge of the functional form of the dynamical units and of the coupling functions between them, we present an analytical solution to the inverse problem of finding the network topology. Robust reconstruction is achieved in any sufficiently long generic observation of the system. We extend our method to simultaneously reconstruct both the entire network topology and all parameters appearing linear in the system's equations of motion. Reconstruction of network topology and system parameters is viable even in the presence of substantial external noise.
Statistical Language Modelling
Gotoh, Yoshihiko; Renals, Steve
2003-01-01T23:59:59.000Z
the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...
Interpreting Accident Statistics
Ferreira, Joseph Jr.
Accident statistics have often been used to support the argument that an abnormally small proportion of drivers account for a large proportion of the accidents. This paper compares statistics developed from six-year data ...
System and method for statistically monitoring and analyzing sensed conditions
Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)
2011-01-25T23:59:59.000Z
A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.
System and method for statistically monitoring and analyzing sensed conditions
Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA), Gentile; Ann C. (Dublin, CA), Marzouk; Youssef M. (Oakland, CA), Hale; Darrian J. (San Jose, CA), Thompson; David C. (Livermore, CA)
2010-07-13T23:59:59.000Z
A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.
System and method for statistically monitoring and analyzing sensed conditions
Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)
2011-01-04T23:59:59.000Z
A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.
Inductive Inference for Solving Divergence in Knuth-Bendix Completion
Thomas, M.; Jantke, K.; Proceedings of Analogical and Inductive Inference '89, Lecture Notes in Computer Science, Volume 397 pp 288-303 Springer [More Details
Thomas,M. Jantke,K. Proceedings of Analogical and Inductive Inference '89, Lecture Notes in Computer Science, Volume 397 pp 288-303 Springer
analysis infers migration: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to inference from examples to rules, which I will call inductive generalization. Abduction is clearly a kind of induction in the broad sense, in that the generation of...
Inference of Interactions in Cyanobacterial-Heterotrophic Co...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
BE Linggi, LM Markillie, NG Isern, WB Chrisler, LA Kucek, EA Hill, G Pinchuk, DA Bryant, HS Wiley, JK Fredrickson, and A Konopka.2014."Inference of Interactions in...
Growth History Of Kilauea Inferred From Volatile Concentrations...
Inferred From Volatile Concentrations In Submarine-Collected Basalts Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Growth History Of Kilauea...
active pathway inference: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....
automatically infer precursor: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....
african buffalos inferred: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....
ancestral bilaterian inferred: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....
Statistics Statistique Canada Canada
Sinnamon, Gordon J.
Statistics Statistique Canada Canada Human Resources and Ressources humaines et Skills Development Canada DÃ©veloppement des compÃ©tences Canada Culture,Tourism and the Centre for Education Statistics about this product or the wide range of services and data available from Statistics Canada, visit our
STATISTICAL COMPUTING AND GRAPHICS
Masci, Frank
Marron for a helpful comment. @ 1997 American Statistical Association bin width should be chosen soSTATISTICAL COMPUTING AND GRAPHICS Data-Based Choice of Histogram Bin Width The most important of the "optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples
---BAYESIAN STATISTICS J. Bernardo,
Jefferys, William
as the radius of # its angular radius. If we of estimate of measuring # we can infer d. was first by Brahe in th is in hindsight no surprise; the actual diameters largest to hundreds larger angular are thousands of times Tycho's estimate. Tycho's Fortunately, is a way to estimate From the StefanÂBoltzmann luminosity of spherical
Submitted to the Annals of Statistics PARAMETRIC INFERENCE AND FORECASTING FOR
results on univariate and multivariate GARCH type models where the estimator coincides with the classical (GARCH) type models have been successfully applied to volatility modeling. Nelson (1991) is the first attempt to introduce non linearity into volatility mod- els with the Exponential-GARCH(1,1) type models
A Statistical Image-Based Shape Model for Visual Hull Reconstruction and 3D Structure Inference
Grauman, Kristen
for collaborating with me on this work over the past year, and Ali Rahimi and David Demirdjian for various helpful extend great gratitude to Karen and Robert Grauman, my parents, whose inspiration and love have guided me
Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data
Chen, Shuai
2012-07-16T23:59:59.000Z
Cost-effectiveness analysis is widely conducted in the economic evaluation of new treatment options. In many clinical and observational studies of costs, data are often censored. Censoring brings challenges to both medical cost estimation and cost...
Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data
Chen, Shuai
2012-07-16T23:59:59.000Z
Cost-effectiveness analysis is widely conducted in the economic evaluation of new treatment options. In many clinical and observational studies of costs, data are often censored. Censoring brings challenges to both medical cost estimation and cost...
Inferring interactions and functions of proteins using evolutionary information
Kim, Yohan
2007-01-01T23:59:59.000Z
implemented in R statistical language [1]. In this ?gure,C. R: A Language and Environment for Statistical Computing.
Bayesian inference for pulsar timing models
Vigeland, Sarah J
2013-01-01T23:59:59.000Z
The extremely regular, periodic radio emission from millisecond pulsars make them useful tools for studying neutron star astrophysics, general relativity, and low-frequency gravitational waves. These studies require that the observed pulse time of arrivals are fit to complicated timing models that describe numerous effects such as the astrometry of the source, the evolution of the pulsar's spin, the presence of a binary companion, and the propagation of the pulses through the interstellar medium. In this paper, we discuss the benefits of using Bayesian inference to obtain these timing solutions. These include the validation of linearized least-squares model fits when they are correct, and the proper characterization of parameter uncertainties when they are not; the incorporation of prior parameter information and of models of correlated noise; and the Bayesian comparison of alternative timing models. We describe our computational setup, which combines the timing models of tempo2 with the nested-sampling integ...
Testing Gravity with Cold-Atom Interferometers
G. W. Biedermann; X. Wu; L. Deslauriers; S. Roy; C. Mahadeswaraswamy; M. A. Kasevich
2014-12-10T23:59:59.000Z
We present a horizontal gravity gradiometer atom interferometer for precision gravitational tests. The horizontal configuration is superior for maximizing the inertial signal in the atom interferometer from a nearby proof mass. In our device, we have suppressed spurious noise associated with the horizonal configuration to achieve a differential acceleration sensitivity of 4.2$\\times10^{-9}g/\\sqrt{Hz}$ over a 70 cm baseline or 3.0$\\times10^{-9}g/\\sqrt{Hz}$ inferred per accelerometer. Using the performance of this instrument, we characterize the results of possible future gravitational tests. We complete a proof-of-concept measurement of the gravitational constant with a precision of 3$\\times10^{-4}$ that is competitive with the present limit of 1.2$\\times10^{-4}$ using other techniques. From this measurement, we provide a statistical constraint on a Yukawa-type fifth force at 8$\\times$10$^{-3}$ near the poorly known length scale of 10 cm. Limits approaching 10$^{-5}$ appear feasible. We discuss improvements that can enable uncertainties falling well below 10$^{-5}$ for both experiments.
Complexity of Inference in Latent Dirichlet David Sontag
, document summarization, and classification [Blei and McAuliffe, 2008; Lacoste-Julien et al., 2009 of the simplest and most popular models, Latent Dirichlet Allocation (LDA) [Blei et al., 2003]. The LDA model on approximate inference algorithms for topic mod- els, such Gibbs sampling and variational inference [Blei et al
Recent Developments in Bayesian Inference with Applications in Hydrology
Berger, Jim
: Recent Developments in Bayesian Inference with Applications in Hydrology . James O. Berger potential use in hydrology. These tools include Bayesian model selection, new computational techniques be applied to problems in hyÂ drology. Keywords: Bayesian Inference, Hydrology, Model Selection, Bayes
Multi-level Modeling and Inference of Transcription Regulation
Shamir, Ron
promoters and the combinatorial regulation of transcription. At the core, our model manipulates doseMulti-level Modeling and Inference of Transcription Regulation Amos Tanay and Ron Shamir School to infer mechanistic models of transcription control. We propose a new model which integrates transcription
Theory and inference for a Markov switching GARCH model
Nesterov, Yurii
2007/55 Theory and inference for a Markov switching GARCH model Luc Bauwens, Arie Preminger and Jeroen V.K. Rombouts #12;CORE DISCUSSION PAPER 2007/55 Theory and inference for a Markov switching GARCH-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process
Fuzzy Economizer control using a Prolog-C inference engine
Belur, Raghuveer R.
1993-01-01T23:59:59.000Z
This research is in two parts: I. Develop a generic tool to perform fuzzy inference on a wide class of systems.Thisis done using Prolog and C. 2.Develop a hierarchical control scheme using this fuzzy inference mechanism tool for a constant volume...
Type-Inference Based Short Cut Deforestation (nearly) without Inlining
Kent, University of
Type-Inference Based Short Cut Deforestation (nearly) without Inlining -- Work in Progress -- Olaf@informatik.rwth-aachen.de Abstract Deforestation optimises a functional program by transforming it into another one that does not create certain intermediate data structures. In [Chi99] we presented a type-inference based deforestation
Type-Inference Based Short Cut Deforestation (nearly) without Inlining
Kent, University of
Type-Inference Based Short Cut Deforestation (nearly) without Inlining Olaf Chitil Lehrstuhl fÂ¨ur Informatik II, RWTH Aachen, Germany chitil@informatik.rwth-aachen.de Abstract. Deforestation optimises structures. Our type-inference based deforestation algorithm performs extensive inlining, but only limited
Asymptotic and Bootstrap Inference for Inequality and Poverty Measures
Boyer, Edmond
Asymptotic and Bootstrap Inference for Inequality and Poverty Measures by Russell Davidson samples, although inference with poverty indices is satisfactory. We find that the major cause method in moderately large samples. JEL codes: C00, C15, I32 Key words: Income distribution, poverty
NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness
Necula, George
NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness Jacob and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post;NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness Jacob Burnim
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Olsen Jr., Dan R.
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics the following: Stat 121 Principles of Statistics Stat 151 Introduction to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have
Statistics 221 Statistical Computing Methods Instructor: Mark Irwin
Irwin, Mark E.
Linear algebra, Statistics 111, and knowledge of a computer programming language. Statistics 220 (1988). Elements of Statistical Computing: Numerical Computation. CRC Press. Splus / R: Venables WNStatistics 221 Â Statistical Computing Methods Instructor: Mark Irwin Office: Science Center 235
1 Statistics Statistics plays an important role throughout society, providing
Vertes, Akos
1 Statistics STATISTICS Statistics plays an important role throughout society, providing data. They also explore how those skills can be applied to develop new initiatives. Statistics is one. UNDERGRADUATE Bachelor's program · Bachelor of Science with a major in statistics (http:// bulletin.gwu.edu/arts-sciences/statistics
Practical Statistical Thinking Probability: The Language of Statistics
Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking
Pr`actica 11: INFER`ENCIA ESTADISTICA Infer`encia en taules de conting`encia: test 2
Castellana, NatÃ lia
relaciÂ´o- associaciÂ´o entre dues variables (tant qualitatives com num`eriques). ComenÂ¸carem analitzant el-descriptiu. Per treballar el primer objectiu plantejat a la secciÂ´o anterior, comenÂ¸carem fent un estudi
Edinburgh Research Explorer Statistical Constraints
Millar, Andrew J.
Edinburgh Research Explorer Statistical Constraints Citation for published version: Rossi, R that links statistics and constraint programming. We dis- cuss two novel statistical constraints and some, Prestwich, S & Tarim, SA 2014, 'Statistical Constraints' Paper presented at 21st biennial European
Statistics and Health Care Reform in the United States Jasjeet Singh Sekhon
Sekhon, Jasjeet S.
Statistics and Health Care Reform in the United States Jasjeet Singh Sekhon 6/14/2010 The signature is one of the most significant pieces of social policy legislation in the history of the United States care system in the United States, and hence it is difficult to evaluate PPACA. The issues of inference
Relative Apparent Synapomorphy Analysis (RASA) I: The Statistical Measurement of Phylogenetic Signal
inference, providing measurable sensitivity and power. The performance of RASA is examined under variousRelative Apparent Synapomorphy Analysis (RASA) I: The Statistical Measurement of PhylogeneticUSDA Forest Service, Reno, Nevada We have developed a new approach to the measurement of phylogenetic signal
G. T. von Nessi; M. J. Hole
2013-01-30T23:59:59.000Z
A new method, based on Bayesian analysis, is presented which unifies the inference of plasma equilibria parameters in a Tokamak with the ability to quantify differences between inferred equilibria and Grad-Shafranov force-balance solutions. At the heart of this technique is the new method of observation splitting, which allows multiple forward models to be associated with a single diagnostic observation. This new idea subsequently provides a means by which the the space of GS solutions can be efficiently characterised via a prior distribution. Moreover, by folding force-balance directly into one set of forward models and utilising simple Biot-Savart responses in another, the Bayesian inference of the plasma parameters itself produces an evidence (a normalisation constant of the inferred posterior distribution) which is sensitive to the relative consistency between both sets of models. This evidence can then be used to help determine the relative accuracy of the tested force-balance model across several discharges/times. These ideas have been implemented in a code called BEAST (Bayesian Equilibrium Analysis and Simulation Tool), which uses a special implementation of Skilling's nested sampling algorithm [Skilling, Bayesian Analysis 1(4), 833--859 (2006)] to perform sampling and evidence calculations on high-dimensional, non-Gaussian posteriors. Initial BEAST equilibrium inference results are presented for two high-performance MAST discharges.
Part I STATISTICAL PHYSICS 1 Statistical Physics
unknown authors
In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it
Part I STATISTICAL PHYSICS 1 Statistical Physics
unknown authors
2004-01-01T23:59:59.000Z
In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it
Part I STATISTICAL PHYSICS 1 Statistical Physics
unknown authors
In this first part of the book we shall study aspects of classical statistical physics that every physicist should know but are not usually treated in elementary thermodynamics courses. This study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Chapter 2 will deal with kinetic theory, which is the simplest of all formalisms for studying systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the laws it obeys provide
Kulik, Rafal
R for Statistics Rafal Kulik Department of Mathematics and Statistics University of Ottawa Statistical Society of Ottawa 23 September 2011 Rafal Kulik #12;R for Statistics SSO meeting Plan Rafal Kulik 1 #12;R for Statistics SSO meeting Plan What is R? Rafal Kulik 1 #12;R for Statistics SSO meeting
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation
Atomic Inference from Weak Gravitational Lensing Data
Marshall, Phil; /KIPAC, Menlo Park
2005-12-14T23:59:59.000Z
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.
Weakly sufficient quantum statistics
Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska
2009-11-23T23:59:59.000Z
Some aspects of weak sufficiency of quantum statistics are investigated. In particular, we give necessary and sufficient conditions for the existence of a weakly sufficient statistic for a given family of vector states, investigate the problem of its minimality, and find the relation between weak sufficiency and other notions of sufficiency employed so far.
Thesis for the Degree of Licentiate of Philosophy Inference in a Partially Observed
Patriksson, Michael
Thesis for the Degree of Licentiate of Philosophy Inference in a Partially Observed Percolation in a Partially Observed Percolation Process Oscar Hammar Abstract In this licentiate thesis, inference
Babu, G. Jogesh
in both statistics and probability, and their applications to problems in biomedical research, Population Engineering's (SPIE) Symposium on Optical Science and Technology) in San Diego, in August 2001 on Statistical Inference is under preparation. Inter-disciplinary research and activities: Since late 1980's, G
Going off grid: Computationally efficient inference for log-Gaussian Cox processes
Simpson, Daniel; Lindgren, Finn; Sørbye, Sigrunn; Rue, Håvard
2011-01-01T23:59:59.000Z
In this paper we introduce a new method for performing computational inference on log-Gaussian Cox processes (LGCP). Contrary to current practice, we do not approximate by a counting process on a partition of the domain, but rather attack the point process likelihood directly. In order to do this, we use the continuously specified Markovian random fields introduced by \\citet{Lindgren2011}. The inference is performed using the \\texttt{R-INLA} package of \\citet{art451}, which allows us to perform fast approximate inference on quite complicated models. The new method is tested on a real point pattern data set as well as two interesting extensions to the classical LGCP framework. The first extension considers the very real problem of variable sampling effort throughout the observation window and implements the method of \\citet{Chakraborty2011}. The second extension moves beyond what is possible with current techniques and constructs a log-Gaussian Cox process on the world's oceans. Code for the examples can be fo...
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014
Stuart, Josh
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014 http PSYC 181 CMPE 108 SOCY 103A CMPS 142 TIM 230 Information on the Statistics Minor The statistics minor as preparation for a graduate degree in statistics or biostatistics. Course Information With permission from
Statistics: Part 1 1. Why bother with statistics?
Francis, Paul
Statistics: Part 1 1. Why bother with statistics? Why is statistics so necessary for observational. But your data just don't seem to back up their claim. Statistics allows you to determine how confidently) practical introduction to those bits of statistics most vital to observational astronomy. 2. What
METHOD Open Access Rapid haplotype inference for nuclear families
Gifford, David K.
METHOD Open Access Rapid haplotype inference for nuclear families Amy L Williams1* , David E-recombinant and maximum likelihood haplotypes. When applied to a dataset con- taining 103 families, Hapi performs 3
Biodiversity and inference on climate change vulnerability of
Wolpert, Robert L
Accommodate the interactions #12;Outline · Field data · Inference · Results · Implications #12;Long Hdwds Superimposed manipulations Demographic data Multicohort Individual level Longitudinal Design #12;Acer trees and seeds Experimental gaps Interventions Demographic monitoring Pretreatment
A multiscale framework for Bayesian inference in elliptic problems
Parno, Matthew David
2011-01-01T23:59:59.000Z
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 ...
Inductive inference based on probability and Matthew Weber
Osherson, Daniel
Inductive inference based on probability and similarity Matthew Weber Princeton University Daniel in the Bayesian sense (Tentori et al., 2007), or as Weber acknowledges support from an NSF graduate research
TradingO# TypeInference Memory Complexity Against Communication
TradingÂO# TypeÂInference Memory Complexity Against Communication Konstantin HyppË?onen 1 , David Science Po.B. 1627, FINÂ70211, Kuopio, Finland {konstantin.hypponen, elena.trichina}@cs.uku.fi 2 Gemplus
Trading-Off Type-Inference Memory Complexity Against Communication
Trading-Off Type-Inference Memory Complexity Against Communication Konstantin HyppÂ¨onen1 , David Po.B. 1627, FIN-70211, Kuopio, Finland {konstantin.hypponen, elena.trichina}@cs.uku.fi 2 Gemplus Card
Approximate inference in graphical models using LP relaxations
Sontag, David Alexander
2010-01-01T23:59:59.000Z
Graphical models such as Markov random fields have been successfully applied to a wide variety of fields, from computer vision and natural language processing, to computational biology. Exact probabilistic inference is ...
Variable Selection and Inference for Multi-period Forecasting Problems
Pesaran, M Hashem; Pick, Andreas; Timmermann, Allan
Variable Selection and Inference for Multi-period Forecasting Problems? M. Hashem Pesaran Cambridge University and USC Andreas Pick De Nederlandsche Bank and Cambridge University, CIMF Allan Timmermann UC San Diego and CREATES January 26, 2009...
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01T23:59:59.000Z
This paper considers fixed effects estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of ...
FISHERY STATISTICS E UNITED STATES
SH 11 .A443X FISH FISHERY STATISTICS E UNITED STATES ^ 1951 &ch 3. \\§^ ^/'· m:^ STATISTICAL DIGEST. Farley, Director Statistical Digest 30 FISHERY STATISTICS OF THE UNITED STATES 1951 BY A. W. ANDERSON;Fishery Statistics of the United States and Alaska are compiled and published annually to make available
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis
The University of Chicago Department of Statistics
Stephens, Matthew
Department of Statistics The University of Chicago Biofuel FeedStock Commodity Pricing FRIDAY, May 13, 2011. We empirically test models using biofuel feedstock commodity futures data traded in CBOT: corn estimation. We answered the questions: whether the prices for biofuel feedstock commodities (corn and soybean
Inferring User Interests from Tweet Times Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu Madhow
Madhow, Upamanyu
preliminary results on inferring baseball "fandom" for a given team. Our model, motivated by the empirical
Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum
J. D. Hague; B. R. Becker; M. S. Gold; J. A. J. Matthews
2008-08-20T23:59:59.000Z
In this paper un-binned statistical tools for analyzing the cosmic ray energy spectrum are developed and illustrated with a simulated data set. The methods are designed to extract accurate and precise model parameter estimators in the presence of statistical and systematic energy errors. Two robust methods are used to test for the presence of flux suppression at the highest energies: the Tail-Power statistic and a likelihood ratio test. Both tests give evidence of flux suppression in the simulated data. The tools presented can be generalized for use on any astrophysical data set where the power-law assumption is relevant and can be used to aid observational design.
School of Mathematics and Statistics
Du, Jie
School of Mathematics and Statistics Faculties of Arts Economics, Education, Engineering and Science INTERMEDIATE MATHEMATICS and STATISTICS 2012 THE UNIVERSITY OF SYDNEY #12;Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 STAT2911 Probability and Statistical Models (Advanced) . . . . . . . . . . . 16 STAT2912
Matsen, Frederick A
2011-01-01T23:59:59.000Z
Although taxonomy is often used informally to evaluate the results of phylogenetic inference and find the root of phylogenetic trees, algorithmic methods to do so are lacking. In this paper we formalize these procedures and develop algorithms to solve the relevant problems. In particular, we introduce a new algorithm that solves a "uncoloring" problem for expressing the difference between the taxonomy and phylogeny at a given rank. This algorithm improves upon the current best algorithm in terms of asymptotic complexity for the parameter regime of interest; we also describe a branch-and-bound algorithm that saves orders of magnitude in computation on real data sets. We also develop a formalism and an algorithm for rooting phylogenetic trees according to a taxonomy. All of these algorithms are implemented in freely-available software.
animal testing alternatives: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
testing of animal manure ... 11 Figure 6. Temperature profile for manure gasification... Engler, Cady; Capereda, Sergio; Mukhtar, Saqib 48 Statistical test...
Statistics and samples 1.1 What is statistics?
Irwin, Darren
1 1 Statistics and samples 1.1 What is statistics? Biologists study the properties of living things to get sam- pled and who did not. Statistics is a technology that describes and measures aspects of nature from samples. Most importantly, statistics lets us quantify the uncertainty of these meas- ures
Contributions of explanatory variables Test 1 by itself: Test 2 by itself
Carriquiry, Alicia
Contributions of explanatory variables Test 1 by itself: Test 2 by itself: Simple linear regression with only Test 1 Simple linear regression with only Test 2 R2 = 0.295 R2 = 0.167 t = 2.97, P-value = 0.0074* t = 2.05, P-value = 0.0530 Test 1 is statistically significant. Test 2 is not statistically significant
Statistical Learning Theory of Protein Dynamics
Haas, Kevin
2013-01-01T23:59:59.000Z
integrated statistical learning and simulation approach tomolecular simulation, using statistical learning theory tomolecular simulation and statistical learning theory of
HEV Fleet Testing - 2010 Ford Fusion VIN:4699 - Fleet Testing...
Broader source: Energy.gov (indexed) [DOE]
699 Fleet Testing Results To Date Operating Statistics Distance Driven: 73,490 Average Trip Distance: 10.8 mi Stop Time with Engine Idling: 13% Trip Type CityHighway: 86%...
Experimental Mathematics and Computational Statistics
Bailey, David H.; Borwein, Jonathan M.
2009-04-30T23:59:59.000Z
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.
STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS
Gering, Jon C.
to statistical literacy. The American Statistical Association endorsed the Guidelines for AssessmentSB #3205 STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS Newly-Revised Version: A liberally educated person is capable of being both a producer and a consumer of statistical information with some basic
A Statistical Framework for Microbial Source Attribution
Velsko, S P; Allen, J E; Cunningham, C T
2009-04-28T23:59:59.000Z
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.
General Indicators: Performance Statistics
Webb, Peter
Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 87% -4% 100% 47 Trend Initial Target Steam Chilled Utility Outages 2 +1% 0 0 0 Preventive Maintenance: Fire participation reading will be June 2012 *Budget data FYTD through March 2012 Maintenance: Performance Statistics
General Indicators: Performance Statistics
Webb, Peter
Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 85% -12% 100% 80 Trend Initial Target Steam Chilled Utility Outages 3 -5 0 1 0 Preventive Maintenance: Fire participation reading will be August 2012 *Budget data FYTD through May 2012 Maintenance: Performance Statistics
General Indicators: Performance Statistics
Webb, Peter
. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 97% +10% 100% 96% 93% 99% 98% Non Chilled Utility Outages 8 +6% 0 1 2 Preventive Maintenance: Fire/Life/Safety (FLS) 100% No Change 100 will be June 2012 *Budget data FYTD through April 2012 Maintenance: Performance Statistics Current Month Change
Shapiro, Alex
StatisticalInstitute Towards a Unified Theory of Inequality Constrained Testing in Multivariate Analysis A. Shapiro Introduction Statisticalinferencefor equalityconstrainedproblemsin multivariateanalysisis well established properties of linear spaces. In particularit is meaningfulto consideran orthogonal
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear are strongly recommended to choose electives to prepare for the BYU BS/MS statistics integrated program
Spin-statistics violations in superstring theory
Jackson, Mark G. [Particle Astrophysics Center and Theory Group, Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)
2008-12-15T23:59:59.000Z
I describe how superstring theory may violate spin statistics in an experimentally observable manner. Reviewing the basics of superstring interactions and how to utilize these to produce a statistical phase, I then apply these ideas to two specific examples. The first is the case of heterotic world sheet linkings, whereby one small closed string momentarily enlarges sufficiently to pass over another, producing such a statistical phase. The second is the braneworld model with noncommutative geometry, whereby matter composed of open strings may couple to a background in which spacetime coordinates do not commute, modifying the field (anti)commutator algebra. I conclude with ways to sharpen and experimentally test these exciting avenues to possibly verify superstring theory.
Nonparametric Variational Inference Samuel J. Gershman sjgershm@princeton.edu
Kaski, Samuel
@cs.princeton.edu Department of Statistics, Columbia University, New York, NY 10027 USA David M. Blei blei
BAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION
Mignotte, Max
energy function to be minimized. These segmentation and classification schemes can be used separatelyBAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION PROBLEMS and classification problems of great importance in sonar imagery. More precisely this paper is concerned
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Vijayakumar, Sethu
on iterative local approximations present a practical approach to optimal control in robotic systems. However the optimal control framework. The proposed approach, which is applicable to plants with non-linear dynamicsAn Approximate Inference Approach to Temporal Optimization in Optimal Control Konrad C. Rawlik
FPGA Implementation of Fuzzy Inference System for Embedded Applications
-Aubidy The Dean, Faculty of Engineering, Philadelphia University, P O Box 1, Jordan, 19392 E-mail: alaubidy- based FIS has been used to control the operation of a permanent magnet (PM) motor in a washing machine, rule base, inference engine and defuzzifier, as shown in Fig. 1. A crisp input is fuzzified by input
Constraint-Based Inference: A Bridge between Constraint Processing and
Mackworth, Alan K.
in representation and essentially identical inference approaches. In the constraint processing community, Semiring CSP [2] and Valued CSP [3] are two of the most widely studied generalized frameworks that abstract-Based Generalized Framework for CBI Problems There are two essential operators in real world CBI problems: (1
Formula-Based Probabilistic Inference Vibhav Gogate and Pedro Domingos
Gogate, Vibhav
Formula-Based Probabilistic Inference Vibhav Gogate and Pedro Domingos Computer Science Computing the probability of a formula given the probabilities or weights associated with other formulas: formula decomposition and conditioning, which is an exact method, and formula importance sampling, which
XXXtortion? Inferring Registration Intent in the .XXX TLD Tristan Halvorson
Voelker, Geoffrey M.
XXXtortion? Inferring Registration Intent in the .XXX TLD Tristan Halvorson trhalvorson-long approval process, multiple rejections, and an independent review, ICANN approved the xxx TLD for inclusion data gathered from ICANN, whois, and Web requests. We use this information to characterize each xxx
A Simple Approach to Abductive Inference using Conceptual Graphs
Pagnucco, Maurice
A Simple Approach to Abductive Inference using Conceptual Graphs Maurice Pagnucco Knowledge Systems, Australia. email: morri@cs.su.oz.au fax : +61Â2Â692Â3838 Abstract Abductive reasoning (or simply abduction) is a form of logical inÂ ference that aims to derive plausible explanations for data. The term ``abduction
Inferring Architectural Designs from Physical Sketches: Application to Daylighting Analysis
Varela, Carlos
Inferring Architectural Designs from Physical Sketches: Application to Daylighting Analysis Barbara and a closed, 3D triangle mesh representation is constructed. We apply the system to architectural daylighting, daylighting analy- sis, and image processing. ACM Classification Keywords H.5.1 Information Interfaces
Dynamic server selection using fuzzy inference in content distribution networks
Shen, Xuemin "Sherman"
Dynamic server selection using fuzzy inference in content distribution networks Lin Cai, Jun Ye been designed and deployed to distribute content to different cache servers, and to transparently and dynamically redirect user requests to the cache servers according to the latest network and server status
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
Freytag, Johann-Christoph
1 Efficient Algorithms for Exact Inference in Sequence Labeling SVMs Alexander Bauer, Nico GÂ¨ornitz, Franziska Biegler, Klaus-Robert MÂ¨uller, and Marius Kloft Abstract--The task of structured output prediction or segmentation of the sequence. A proven methodology to this end consists in A. Bauer is with Machine Learning
Practical Variational Inference for Neural Networks Alex Graves
Toronto, University of
are energy-based models such as restricted Boltzmann machines [24] whose log- loss is intractable. 1 #12-loss parametric model--which includes most neural networks1 Variational inference can be reformulated as the optimisation of a Minimum Description length (MDL; [21]) loss function; indeed it was in this form
Machine Learning and Inference Laboratory Semantic and Syntactic Attribute Types
Michalski, Ryszard S.
Reports Machine Learning and Inference Laboratory Semantic and Syntactic Attribute Types in AQ University #12;2 SEMANTIC AND SYNTACTIC ATTRIBUTE TYPES IN AQ LEARNING Ryszard S. Michalski* and Janusz and syntactic attribute types in AQ learning, explains their relationships and provides their classifications
INFINITY 2004 Preliminary Version Inference of Timed Transition Systems
Leucker, Martin
INFINITY 2004 Preliminary Version Inference of Timed Transition Systems Olga Grinchtein 1 Bengt or implementation. In software verification, techniques are being developed for generating abstract models of software modules by static analysis of source code (e.g., [10,20]). However, peripheral hardware components
Extending Plan Inference Techniques to Recognize Intentions in Information Graphics
Carberry, Sandra
Extending Plan Inference Techniques to Recognize Intentions in Information Graphics Stephanie Elzer information graphics. Our work is part of a larger project to de- velop an interactive natural language system graphics. 1 Introduction The amount of information available electronically has increased dramatically over
"Reliability Inference Based on Multistate and Degradation Models"
Arnold, Jonathan
"Reliability Inference Based on Multistate and Degradation Models" Vijay Nair Department of extensive covariate information, and the use of multistate and degradation data when available. This talk common models for analyzing degradation data and then describe a class of models based on non
Revealing strengths and weaknesses of methods for gene network inference
Floreano, Dario
-performing method failed to accu- rately infer multiple regulatory inputs (combinatorial regulation) of genes MDM2, its key regulator (1). Indeed, the map- ping of biological interactions in the intracellular realm remains the bottleneck in the pipeline to produce biological knowledge from high-throughput data
Type-Inference Based Deforestation of Functional Programs
Kent, University of
Type-Inference Based Deforestation of Functional Programs Von der FakultÂ¨at fÂ¨ur Mathematik structure is produced by one part and consumed by another one. Deforestation optimises a functional program a new method for deforestation, which combines a known method, short cut deforestation, with a new
Type Inference Builds a Short Cut to Deforestation Olaf Chitil
Kent, University of
Type Inference Builds a Short Cut to Deforestation Olaf Chitil Lehrstuhl fÂ¨ur Informatik II, RWTH Aachen, 52056 Aachen, Germany chitil@informatik.rwth-aachen.de Abstract Deforestation optimises structures. Short cut deforestation is a de- forestation method which is based on a single, local trans
evolution genetics lab GENE 4230L: MECHANISMSAND INFERENCES
Arnold, Jonathan
evolution genetics lab GENE 4230L: MECHANISMSAND INFERENCES OFEVOLUTIONARYPROCESSES Fall2006, 12 Selection 1. Aug. 28 Lab 4. Measuring Natural Selection 2. Aug. 30 LABOR DAY Sep. 4 Lab 5. Evolution. 30 Lab 20. Phylogenetics part 2 Nov. 1 Lab 21. Evolution of Development Nov. 6 Lab 22. Catch
The utility of single nucleotide polymorphisms in inferences of
Brumfield, Robb T.
The utility of single nucleotide polymorphisms in inferences of population history Robb T of Washington, Seattle, WA 98195, USA Single nucleotide polymorphisms (SNPs) represent the most widespread type discuss one emerging marker of great relevance to historical demography: single nucleotide polymorphisms
Heterogeneity of Nucleotide Frequencies Among Evolutionary Lineages and Phylogenetic Inference
Rosenberg, Michael S.
Heterogeneity of Nucleotide Frequencies Among Evolutionary Lineages and Phylogenetic Inference is the homogeneity of nucleotide frequencies among taxa, which refers to the equality of the nucleotide frequency bias among species. Changes in nucleotide frequency among different lineages in a data set are thought
Quantifier Inference Rules for SMT proofs David Deharbe
Paris-Sud XI, Université de
Quantifier Inference Rules for SMT proofs David Deharbe Universidade Federal do Rio Grande do Norte quantifiers in the proof format of the SMT-solver veriT. The quantifier-handling modules in veriT being fairly benefit the SMT community. 1 Introduction In the typical architecture of an SMT-solver, the core automated
Interval Computations Interval-Valued Inference in Medical
Kearfott, R. Baker
CLINAID Ladislav J. Kohout and Isabel Stabile In a series of papers and a monograph [21], we have] - Clinaid. Clinaid - . c L. J. Kohout, I. Stabile, 1993 #12;Interval-Valued Inference substra- #12;90 L. J. Kohout, I. Stabile tum): 1. Diagnostic Unit (comprised of several parallel
Inferring Gene Family Histories in Yeast Identifies Lineage Specific Expansions
Ames, Ryan M.; Money, Daniel; Lovell, Simon C.
2014-06-12T23:59:59.000Z
new evolutionary models to infer gene family histories across complete yeast genomes; these models allow us to estimate the relative genome-wide rates of gene birth, death, innovation and extinction (loss of an entire family) for the first time. We...
Multimodel Inference and Geographic Profiling Mike O'Leary
O'Leary, Michael
Multimodel Inference and Geographic Profiling Mike O'Leary Department of Mathematics Towson's anchor point from the locations of the crime sites in the series. The approach of O'Leary (2009) uses, Huntley, and Missen (2000). In some recent work O'Leary (2009, 2010) has developed a new approach
Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1
Roulstone, Ian
Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1 , Manfred Opper2 number of degrees of freedom. Environmental forecasting centres have taken strategic decisions to develop on related phenomena, such as flooding and storm damage, and on the spread of pollutants. The models needed
1979 DOE statistical symposium
Gardiner, D.A.; Truett T. (comps. and eds.)
1980-09-01T23:59:59.000Z
The 1979 DOE Statistical Symposium was the fifth in the series of annual symposia designed to bring together statisticians and other interested parties who are actively engaged in helping to solve the nation's energy problems. The program included presentations of technical papers centered around exploration and disposal of nuclear fuel, general energy-related topics, and health-related issues, and workshops on model evaluation, risk analysis, analysis of large data sets, and resource estimation.
Homotopy in statistical physics
Ralph Kenna
2006-04-12T23:59:59.000Z
In condensed matter physics and related areas, topological defects play important roles in phase transitions and critical phenomena. Homotopy theory facilitates the classification of such topological defects. After a pedagogic introduction to the mathematical methods involved in topology and homotopy theory, the role of the latter in a number of mainly low-dimensional statistical-mechanical systems is outlined. Some recent activities in this area are reviewed and some possible future directions are discussed.
Statistical Error analysis of Nucleon-Nucleon phenomenological potentials
R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola
2014-06-10T23:59:59.000Z
Nucleon-Nucleon potentials are commonplace in nuclear physics and are determined from a finite number of experimental data with limited precision sampling the scattering process. We study the statistical assumptions implicit in the standard least squares fitting procedure and apply, along with more conventional tests, a tail sensitive quantile-quantile test as a simple and confident tool to verify the normality of residuals. We show that the fulfilment of normality tests is linked to a judicious and consistent selection of a nucleon-nucleon database. These considerations prove crucial to a proper statistical error analysis and uncertainty propagation. We illustrate these issues by analyzing about 8000 proton-proton and neutron-proton scattering published data. This enables the construction of potentials meeting all statistical requirements necessary for statistical uncertainty estimates in nuclear structure calculations.
Bayesian Statistics Stochastic Simulation -Gibbs sampling
Wright, Francis
Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors
C. Shane Reese Department of Statistics
Reese, Shane
, American Statistical Association 2012 Melvin W. Carter Professorship 2010 Karl G. Maeser Excellence.) 2010 American Statistical Association Excellence in Statistics in Sports Award 2008 Howard Christensen Department of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association
Hypothesis Testing with Nonlinear Shape Models
Utah, University of
a large number of parameters that lie in nonlinear spaces, and so traditional statistical analysis tools a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is invariant to the scale of different model
Statistical analysis in multispectral remote sensing
Albert, Walter Gerald
1970-01-01T23:59:59.000Z
and examines various statistical techniques for their usefulness in crop pre- diction. These techniques include multiple regression, discriminant analysis, and likelihood ratio tests. Other procedures employed in this paper are univsriate and multivariate... analysis of variance. Several transformations are performed on the data, sets in an attempt to increase accuracy for discrimination of crops, Conclu- sions of the work undertaken in this paper are presented, and recommendations are made for further...
STAT 639V: Topics in Statistics Statistical Computing
Petris, Giovanni
methods. Most of the topics will be presented in the context of the R statistical computing language (see below). Computing: The computer language we will be using is R. The latest version of R is installedSTAT 639V: Topics in Statistics Fall 2014 Statistical Computing General Information: Class hours
A regression approach to infer electricity consumption of legacy telecom equipment
Fisher, Kathleen
A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications
Babu, M. Madan
Bioinformatics Program, 2 Department of Biology and 3 Biomedical Engineering Department, Boston University, 44Computational inference of transcriptional regulatory networks from expression pro ABSTRACT We have developed a computational method for transcriptional regulatory network inference, CARRIE
INDIAN STATISTICAL INSTITUTE Annual Report
Bandyopadhyay, Antar
Division 8 Stat-Math Unit (SMU), Kolkata 8 Stat-Math Unit (SMU), Delhi 11 Stat-Math Unit (SMU), Bangalore Stat-Math Unit (SMU), Chennai 14 16 Applied Statistics Division 17 Applied Statistics Unit (ASU
Statistical Performance Modeling of SRAMs
Zhao, Chang
2011-02-22T23:59:59.000Z
to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...
STATISTICAL MECHANICS AND FIELD THEORY
Samuel, S.A.
2010-01-01T23:59:59.000Z
York. K. Bardakci, Field Theory for Solitons, II, BerkeleyFart I Applications of Field Theory Methods to StatisticalStatistical Mechanics to Field Theory Chapter IV The Grand
Evidence cross-validation and Bayesian inference of MAST plasma equilibria
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
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.
Business Statistics 207 Summer, 2013
Barrash, Warren
Business Statistics 207 Summer, 2013 Instructor: Phil Fry Office: MBEB 3249 e-mail: pfry) & by Appointment Textbook: Business Statistics: A Decision-Making Approach, 8th ed. by Groebner, Shannon, Fry: This is the first semester of a two semester course in business statistics. The objective of BUSSTAT 207
Fertilizer Statistics for Texas.
Fraps, G. S. (George Stronach)
1927-01-01T23:59:59.000Z
) H. B. PARKS, B. S.. Apiculturist in Charge A. H. ALEX, B. S.. Queen Breeder FEED CONTROL SERVICE: F. D. FULLER, M. S.. Chief S. D. PEARCE, Secretary J. 13. ROGERS, Feed Inspector W. H. WOOD. Feed Inspector K. L KIRKLAND B S Feed Inspector W... and for selected counties. Estimated prices of plant food are given. The sales of fer- tilizer in the spring are partly related to the price of cotton in the preceding fall and winter. This is shown by statistical methods. CONTENTS ,. A . . . . ,., l...
Independent Statistics & Analysis
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015 Independent Statistics &
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical
ARM - Historical Visitor Statistics
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral ChangesFieldVisitor Statistics
Homes, Christopher C.
LABORATORY CHARACTERIZATION OF A SIZE-RESOLVED CPC BATTERY TO INFER THE COMPOSITION OF FRESHLY. #12;Laboratory Characterization of a Size-Resolved CPC Battery to Infer the Composition of Freshly Abstract. A size-resolved condensation particle counter battery (SR-CPCb) was developed to infer
Partial abductive inference in Bayesian belief networks using a genetic algorithm q
de Campos, Luis M.
Partial abductive inference in Bayesian belief networks using a genetic algorithm q L.M. de Campos, Spain Abstract Abductive inference in Bayesian belief networks is the process of generating the u most's variables, this problem is called partial abductive inference. Both problems are NP-hard, and so exact
Nordic Journal of Computing A Versatile Constraint-Based Type Inference System
Nordic Journal of Computing A Versatile Constraint-Based Type Inference System Fran#24;cois Pottier and rows yields a powerful constraint-based type inference system. We illustrate this claim by propos- ing inference system can be in uenced by its purpose. When used as a user-visible way of enforcing a coding
Simulation based Bayesian econometric inference: principles and some recent computational advances
Nesterov, Yurii
2007/15 Simulation based Bayesian econometric inference: principles and some recent computational/15 Simulation based Bayesian econometric inference: principles and some recent computational advances Lennart F aspects of simulation based Bayesian econometric inference. We start at an elementary level on basic
Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks
Zhang, Tonglin
Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks of radioactive target via wireless sensor networks. The statistical approach includes a hypotheses test this framework, a wireless sensor network (WSN) can be used as the system to obtain data. A statistical method
1 Intro to R R is a programming language and environment for statistical computing and graphics.
Guo, Zaoyang
Workshop 1 1 Intro to R R is a programming language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques. One of R
Bootstrap Tests for Overidentification in Linear Regression Models
Spino, Claude
Bootstrap Tests for Overidentification in Linear Regression Models Russell Davidson Department it impossible to perform reliable inference near the point at which the limit is ill-defined. Several bootstrap are not too weak. We also study the power properties of the bootstrap tests. JEL codes: C10, C12, C15, C30
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Applied Time Series and Forecasting Stat 474 Theory of Interest Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear Models Stat 536 Modern
12.864 Inference from Data and Models, Spring 2004
Wunsch, Carl
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, ...
12.864 Inference from Data and Models, Spring 2003
Wunsch, Carl
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, ...
A Tutorial on Time-Evolving Dynamical Bayesian Inference
Tomislav Stankovski; Andrea Duggento; Peter V. E. McClintock; Aneta Stefanovska
2014-05-21T23:59:59.000Z
In view of the current availability and variety of measured data, there is an increasing demand for powerful signal processing tools that can cope successfully with the associated problems that often arise when data are being analysed. In practice many of the data-generating systems are not only time-variable, but also influenced by neighbouring systems and subject to random fluctuations (noise) from their environments. To encompass problems of this kind, we present a tutorial about the dynamical 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 also given. Examples based on coupled phase and limit-cycle oscillators illustrate the salient features of phase dynamics inference. State domain inference is illustrated with an example of coupled chaotic oscillators. The applicability of the latter example to secure communications based on the modulation of coupling functions is outlined. MatLab codes for implementation of the method, as well as for the explicit examples, accompany the tutorial.
The inferred redshift distribution of the faint blue excess
Driver, S P; Phillipps, S; Windhorst, R A; Driver, Simon P; Couch, Warrick J; Phillipps, Steven; Windhorst, Rogier A
1996-01-01T23:59:59.000Z
We infer the redshift distribution of the faint blue galaxy excess (FBE) at B=23.5 by subtracting the predicted distribution of giant/normal galaxies from the observed N(z) distribution for all types. This is possible because of the recent deep {\\it Hubble Space Telescope} (HST) WFPC2 morphological number counts which have convincingly demonstrated that little evolution of the giant population is seen to B=26.0. The mean redshift of the FBE at B=23.5 is found to be _{FBE}=0.40 +/- 0.07 with upper and lower quartiles defined by z_{0.75}=0.58 +/- 0.05 and z_{0.25}=0.28 +/- 0.05, respectively. We compare this inferred FBE N(z) distribution to the predictions from three generic faint galaxy models: dwarf dominated (no evolution), pure luminosity evolution, and evolving dwarfs. The inferred FBE N(z) distribution strongly supports a hybrid evolving dwarf--rich model wherein a large population of dwarfs present at z=0.5 has subsequently faded to obscurity. The total integrated number density of dwarfs (down to M_{B}...
The inferred redshift distribution of the faint blue excess
Simon P. Driver; Warrick J. Couch; Steven Phillipps; Rogier A. Windhorst
1996-05-10T23:59:59.000Z
We infer the redshift distribution of the faint blue galaxy excess (FBE) at B=23.5 by subtracting the predicted distribution of giant/normal galaxies from the observed N(z) distribution for all types. This is possible because of the recent deep {\\it Hubble Space Telescope} (HST) WFPC2 morphological number counts which have convincingly demonstrated that little evolution of the giant population is seen to B=26.0. The mean redshift of the FBE at B=23.5 is found to be _{FBE}=0.40 +/- 0.07 with upper and lower quartiles defined by z_{0.75}=0.58 +/- 0.05 and z_{0.25}=0.28 +/- 0.05, respectively. We compare this inferred FBE N(z) distribution to the predictions from three generic faint galaxy models: dwarf dominated (no evolution), pure luminosity evolution, and evolving dwarfs. The inferred FBE N(z) distribution strongly supports a hybrid evolving dwarf--rich model wherein a large population of dwarfs present at z=0.5 has subsequently faded to obscurity. The total integrated number density of dwarfs (down to M_{B}=-11) is estimated to be a factor of 20 times greater than that of E---Sc galaxies and the estimated fading to be 1.0 < \\Delta m < 1.4 mags. Thus, the dwarf population is estimated to be responsible for ~30% of the luminosity density locally, rising to ~57% at z=0.5.
Testing cosmology with cosmic sound waves
Corasaniti, Pier Stefano [LUTH, Observatoire de Paris, CNRS UMR 8102, Universite Paris Diderot, 5 Place Jules Janssen, 92195 Meudon Cedex (France); Melchiorri, Alessandro [Dipartimento di Fisica e Sezione INFN, Universita degli Studi di Roma 'La Sapienza', Ple Aldo Moro 5, 00185, Rome (Italy); CERN, Theory Division, CH-1211 Geneva 23 (Switzerland)
2008-05-15T23:59:59.000Z
Wilkinson Microwave Anisotropy Probe (WMAP) observations have accurately determined the position of the first two peaks and dips in the cosmic microwave background (CMB) temperature power spectrum. These encode information on the ratio of the distance to the last scattering surface to the sound horizon at decoupling. However prerecombination processes can contaminate this distance information. In order to assess the amplitude of these effects, we use the WMAP data and evaluate the relative differences of the CMB peak and dip multipoles. We find that the position of the first peak is largely displaced with respect to the expected position of the sound horizon scale at decoupling. In contrast, the relative spacings of the higher extrema are statistically consistent with those expected from perfect harmonic oscillations. This provides evidence for a scale dependent phase shift of the CMB oscillations which is caused by gravitational driving forces affecting the propagation of sound waves before recombination. By accounting for these effects we have performed a Markov Chain Monte Carlo likelihood analysis of the location of WMAP extrema to constrain, in combination with recent BAO data, a constant dark energy equation of state parameter w. For a flat universe we find a strong 2{sigma} upper limit w<-1.10, and including the Hubble Space Telescope prior, we obtain w<-1.14, which is only marginally consistent with limits derived from the Supernova Legacy Survey sample. On the other hand, we infer larger limits for nonflat cosmologies. From the full CMB likelihood analysis, we also estimate the values of the shift parameter R and the multipole l{sub a} of the acoustic horizon at decoupling for several cosmologies, to test their dependence on model assumptions. Although the analysis of the full CMB spectra should always be preferred, using the position of the CMB peaks and dips provides a simple and consistent method for combining CMB constraints with other data sets.
Statistical Mechanical Models and Topological Color Codes
H. Bombin; M. A. Martin-Delgado
2007-11-03T23:59:59.000Z
We find that the overlapping of a topological quantum color code state, representing a quantum memory, with a factorized state of qubits can be written as the partition function of a 3-body classical Ising model on triangular or Union Jack lattices. This mapping allows us to test that different computational capabilities of color codes correspond to qualitatively different universality classes of their associated classical spin models. By generalizing these statistical mechanical models for arbitrary inhomogeneous and complex couplings, it is possible to study a measurement-based quantum computation with a color code state and we find that their classical simulatability remains an open problem. We complement the meaurement-based computation with the construction of a cluster state that yields the topological color code and this also gives the possibility to represent statistical models with external magnetic fields.
Application for SAS Certificate Advanced Statistics
Dahl, David B.
Application for SAS Certificate Advanced Statistics ___________________________________________________________________________________ Student Signature _________________________________________ Date I am a Statistics Major at Brigham Young of Statistics to access my academic information. Brigham Young University Department of Statistics offers
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series PETER HALL Department of Mathematics and Statistics University of Melbourne, Australia Contemporary Frontiers in Statistics THURSDAY and future directions of frontier problems in statistics For further information and about building access
APS Operational Statistics for FY 2005
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
asdopslogo1.gif (2896 bytes) APS FY2005 Operational Statistics Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005...
COMPARATIVE STATISTICAL ANALYSIS OF TEST PARTS MANUFACTURED IN PRODUCTION
Gilsinn, David E.
measured using a laser ball bar instrument. Twenty-one copies of the part were produced and measured to actual part error uncertainties. Keywords: coordinate measuring machine, drilling, error uncertainties, laser ball bar, machine tools, machine tool errors, milling, Monte Carlo, propagation of uncertainty
Testing Statistical Cloud Scheme Ideas in the GFDL Climate Model
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGESafetyTed Donat About Us TedJ.LCommerce |330
Statistics as a dynamical attractor
Michail Zak
2012-08-30T23:59:59.000Z
It is demonstrated that any statistics can be represented by an attractor of the solution to a corresponding systen of ODE coupled with its Liouville equation. Such a non-Newtonian representation allows one to reduce foundations of statistics to better established foundations of ODE. In addition to that, evolution to the attractor reveals possible micro-mechanisms driving random events to the final distribution of the corresponding statistical law. Special attention is concentrated upon the power law and its dynamical interpretation: it is demonstrated that the underlying dynamics supports a " violent reputation" of the power law statistics.
Small Business Goals and Statistics
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& Statistics The Idaho National Laboratory (INL) is committed to supporting the small business objectives of the U.S. Government and the Department of Energy (DOE) and recognizes...
Computer, Computational, and Statistical Sciences Division
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Computing CCS Division Computer, Computational, and Statistical Sciences Division Computational physics, computer science, applied mathematics, statistics and the integration of...
Stine, Robert A.
Requirements for Statistics Concentration 6/9/11 The Statistics concentration or major are required, with at least 3 credit units from Statistics. STAT 621 may contribute in Statistics The following courses offered by the Department of Statistics are eligible
International petroleum statistics report
NONE
1997-07-01T23:59:59.000Z
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.
International petroleum statistics report
NONE
1995-11-01T23:59:59.000Z
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 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.
Models for Millions Department of Statistics
Stine, Robert A.
Models for Millions Bob Stine Department of Statistics The Wharton School, UniversityDepartment of Statistics Introduction #12;WhartonDepartment of Statistics WhartonDepartment of Statistics Statistics in the News Hot topics Big Data Business Analytics Data Science Are the authors talking about statistics
Inferred performance of surface hydraulic barriers from landfill operational data
Gross, B.A. [GeoSyntec Consultants, Austin, TX (United States); Bonaparte, R.; Othman, M.A. [GeoSyntec Consultants, Atlanta, GA (United States)
1997-12-31T23:59:59.000Z
There are few published data on the field performance of surface hydraulic barriers (SHBs) used in waste containment or remediation applications. In contrast, operational data for liner systems used beneath landfills are widely available. These data are frequently collected and reported as a facility permit condition. This paper uses leachate collection system (LCS) and leak detection system (LDS) liquid flow rate and chemical quality data collected from modem landfill double-liner systems to infer the likely hydraulic performance of SHBs. Operational data for over 200 waste management unit liner systems are currently being collected and evaluated by the authors as part of an ongoing research investigation for the United States Environmental Protection Agency (USEPA). The top liner of the double-liner system for the units is either a geomembrane (GMB) alone, geomembrane overlying a geosynthetic clay liner (GMB/GCL), or geomembrane overlying a compacted clay liner (GMB/CCL). In this paper, select data from the USEPA study are used to: (i) infer the likely efficiencies of SHBs incorporating GMBs and overlain by drainage layers; and (ii) evaluate the effectiveness of SHBs in reducing water infiltration into, and drainage from, the underlying waste (i.e., source control). SHB efficiencies are inferred from calculated landfill liner efficiencies and then used to estimate average water percolation rates through SHBs as a function of site average annual rainfall. The effectiveness of SHBs for source control is investigated by comparing LCS liquid flow rates for open and closed landfill cells. The LCS flow rates for closed cells are also compared to the estimated average water percolation rates through SHBs presented in the paper.
Regulon inference without arbitrary thresholds: three levels of sensitivity
Dubchak, Pavel Novichkov, Elena Stavrovskaya, Dmitry Rodionov, Andrey Mironov, Inna; Rodionov, Dmitry; Mironov, Andrey; Dubchak, Inna; Novichkov, P.S.
2010-11-15T23:59:59.000Z
Reconstruction of transcriptional regulatory networks is one of the major challenges facing the bioinformatics community in view of constantly growing number of complete genomes. The comparative genomics approach has been successfully used for the analysis of the transcriptional regulation of many metabolic systems in various bacteria taxa. The key step in this approach is given a position weight matrix, find an optimal threshold for the search of potential binding sites in genomes. In our previous work we proposed an approach for automatic selection of TFBS score threshold coupled with inference of regulon content. In this study we developed two modifications of this approach providing two additional levels of sensitivity.
Inferring black hole charge from backscattered electromagnetic radiation
Luís C. B. Crispino; Sam R. Dolan; Atsushi Higuchi; Ednilton S. de Oliveira
2014-09-16T23:59:59.000Z
We compute the scattering cross section of Reissner-Nordstr\\"om black holes for the case of an incident electromagnetic wave. We describe how scattering is affected by both the conversion of electromagnetic to gravitational radiation, and the parity-dependence of phase shifts induced by the black hole charge. The latter effect creates a helicity-reversed scattering amplitude that is non-zero in the backward direction. We show that from the character of the electromagnetic wave scattered in the backward direction it is possible, in principle, to infer if a static black hole is charged.
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867039 J -
SDI: Statistical dynamic interactions
Blann, M.; Mustafa, M.G. (Lawrence Livermore National Lab., CA (USA)); Peilert, G.; Stoecker, H.; Greiner, W. (Frankfurt Univ. (Germany, F.R.). Inst. fuer Theoretische Physik)
1991-04-01T23:59:59.000Z
We focus on the combined statistical and dynamical aspects of heavy ion induced reactions. The overall picture is illustrated by considering the reaction {sup 36}Ar + {sup 238}U at a projectile energy of 35 MeV/nucleon. We illustrate the time dependent bound excitation energy due to the fusion/relaxation dynamics as calculated with the Boltzmann master equation. An estimate of the mass, charge and excitation of an equilibrated nucleus surviving the fast (dynamic) fusion-relaxation process is used as input into an evaporation calculation which includes 20 heavy fragment exit channels. The distribution of excitations between residue and clusters is explicitly calculated, as is the further deexcitation of clusters to bound nuclei. These results are compared with the exclusive cluster multiplicity measurements of Kim et al., and are found to give excellent agreement. We consider also an equilibrated residue system at 25% lower initial excitation, which gives an unsatisfactory exclusive multiplicity distribution. This illustrates that exclusive fragment multiplicity may provide a thermometer for system excitation. This analysis of data involves successive binary decay with no compressional effects nor phase transitions. Several examples of primary versus final (stable) cluster decay probabilities for an A = 100 nucleus at excitations of 100 to 800 MeV are presented. From these results a large change in multifragmentation patterns may be understood as a simple phase space consequence, invoking neither phase transitions, nor equation of state information. These results are used to illustrate physical quantities which are ambiguous to deduce from experimental fragment measurements. 14 refs., 4 figs.
Probability, Statistics, and Stochastic Processes
Olofsson, Peter
, science, and engineering students. Other than the basic probability theory, my goal was to in- cludeProbability, Statistics, and Stochastic Processes Peter Olofsson A Wiley-Interscience Publication had been teaching a course on calculus-based probability and statistics mainly for mathematics
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Total Crude Oil Imports: 239 Mt World's Oil Consumption (consumption - Urban Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Mtce Crude Oilconsumption - Urban Other Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Physical Quantity Crude Oil
STATISTICAL FILTERING* John B. Moore~
Moore, John Barratt
noise signals. Theoretical developments in statistical filtering have been made side by side linkages will be made between these two major in filtering. in the developments In the classical approaches and the unwanted signals (noise) lie in another with possibly some overlap. In the statistical approach, the best
Building statistical models by visualization
Minka,Tom
books Â· "The Elements of Graphing Data", William Cleveland, 2nd Ed. Â· "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data Â· Quantile of x = fraction of points
aggregate tests: Topics by E-print Network
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parameter to aggregation. By using the local Whittle estimator, the statistic takes Weber, Stefan 3 A. SCOPE METHOD OF TEST FOR PROPORTIONS OF COARSE AGGREGATE IN FRESH...
Rubin, David; Barbary, Kyle; Boone, Kyle; Chappell, Greta; Currie, Miles; Deustua, Susana; Fagrelius, Parker; Fruchter, Andrew; Hayden, Brian; Lidman, Chris; Nordin, Jakob; Perlmutter, Saul; Saunders, Clare; Sofiatti, Caroline
2015-01-01T23:59:59.000Z
While recent supernova cosmology research has benefited from improved measurements, current analysis approaches are not statistically optimal and will prove insufficient for future surveys. This paper discusses the limitations of current supernova cosmological analyses in treating outliers, selection effects, shape- and color-standardization relations, intrinsic dispersion, and heterogeneous observations. We present a new Bayesian framework, called UNITY (Unified Nonlinear Inference for Type-Ia cosmologY), that incorporates significant improvements in our ability to confront these effects. We apply the framework to real supernova observations and demonstrate smaller statistical and systematic uncertainties. We verify earlier results that SNe Ia require nonlinear shape and color standardizations, but we now include these nonlinear relations in a statistically well-justified way. This analysis was blinded, in that the method was first validated on simulated data, and no analysis changes were made after transiti...
Olsen Jr., Dan R.
of Statistics For students entering the degree program during the 20142015 curricular year. UNIVERSITY CORE Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 for Modeling Stat 497R Introduction to Statistical Research Stat 500 Business Career Essentials Stat 538
adaptive-network-based fuzzy inference: Topics by E-print Network
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Adaptive Network-based Fuzzy Inference Systems Physics Websites Summary: of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Iran 2- Center for Applied...
Reference set of regulons in Desulfovibrionales inferred by comparative genomics approach
Kazakov, A.E.
2011-01-01T23:59:59.000Z
inferred by comparative genomics approach 1 Lawrenceout large-scale comparative genomics analysis of regulatoryEnvironmental Research, Genomics:GTL Foundational Science
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Sale of Equipment and Materials DOE to Sell NPR-3 Testing Tomorrow's Technology Today RMOTC - Testing - From Lab to Industry, Moving Your Ideas Forward RMOTC provides a neutral,...
FISHERY STATISTICS QF THE UNITED STATES
I FISHERY STATISTICS QF THE UNITED STATES 1942 By A. W, ANDERSON and E. A. POWER STATISTICAL DIGEST Statistical Digest No. 11 FISHERY STATISTICS OF THE UNITED STATES 1942 BY A. W. ANDERSON and E. A. POWER. S. Government Printing Offic Washington 25, D. C. - Price 60 cents #12;Fishery Statistics
Statistics in Linguistics Tutorial Just a sip. . .
Fong, Sandiway
Statistics in Linguistics Tutorial Just a sip. . . Mike Hammond Linguistics, U. of Arizona Statistics/Hammond p.1/9 #12;Overview Statistics/Hammond p.2/9 #12;Overview Are our data categorical? Statistics/Hammond p.2/9 #12;Overview¡ Are our data categorical? ¡ Typological claims Statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1964 STATISTICAL DIGEST NO. 58 UNITED STATES DEPARTMENT Bureau of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 58 FISHERY STATISTICS.S. Government Printing Office, Washington, D.C., 20402 - Price S2.50 (paper cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1963 STATISTICAL DIGEST NO. 57 UNITED STATES DEPARTMENT of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 57 FISHERY STATISTICS OF THE UNITEDTernment Printing Office, Washington, D.C., 20402 - Price $2.25 (paper c #12;Fishery statistics of the United States
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1962 STATISTICAL DIGEST NO. 56 UNITED STATES DEPARTMENT Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 56 FISHERY STATISTICS OF THE UNITED STATES 1962.S. Government Printing Office, Washington, D.C., 20402 - Price $2.25 (paper cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
Div,, . FISHERY STATISTICS OF THE UNITED STATES 1961 STATISTICAL DIGEST NO. 54 UNITED STATES, Donald L. MeKernan, Director STATISTICAL DIGEST 54 FISHERY STATISTICS OF THE UNITED STATES 1961 BY E. A, Washington, D.C. 20402 - Price $2 (paper cover) #12;Fishery statistics of the United States are compiled
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1944 STATISTICAL DIGEST ISO. 16 Fish and Wildlife Sekvh Albert M. Day, Director Statistical Digest No. 16 FISHERY STATISTICS OF THE UNITED STATES 1944 BY A. W Statistics of the United States and Alaska are coiip i I ed and published annually to make available
FISHERY STATISTICS OF THE UNITED STATES
pa%Mv--. FISHERY STATISTICS OF THE UNITED STATES 1965 STATISTICAL DIGEST NO. 59 UNITED STATES, Commissioner Bureau of Commercial Fisheries, H. E. Crowther, Director STATISTICAL DIGEST 59 FISHERY STATISTICS.S. Government Printing Office Washington, D.C. 20402 - Price $4 (Paper Cover) #12;Fishery statistics
FISHERY STATISTICS )F THE UNITED STATES
SH 11 .A443X FISH FISHERY STATISTICS )F THE UNITED STATES ^M=^. STATISTICAL DIGEST NO. 36 #12. Farley, Director i]EL M. COHEN Statistical Digest 36 FISHERY STATISTICS OF THE UNITED STATES 1953 BY A. W;Fishery Statistics of the I'nited States and Alaska are compiled and published an- nually to make
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1950 STATISTICAL DIGEST NO. 27 Fish and Wildlife ServiceKay, Secretary FISH AND WILDLIFE SERVICE, John L. Farley, Director Statistical Digest 27 FISHERY STATISTICS 25, DC. - - Price $2.00 (paper) #12;Fishery Statistics of the United States and A] aska are corapi
FISHERY STATISTICS OF THE UNITED STATES
SH 11 A443X FISH FISHERY STATISTICS OF THE UNITED STATES 1943 STATISTICAL DIGEST NO. 14 Sll \\M AND WILDLIFE SERVICE Albert M. Day, Director CAMEL M. COHEN Statistical Digest No. 14 FISHERY STATISTICS. - Price 75 cents #12;Fishery Statistics of the United States and Alaska are compiled and published
Computationally efficient algorithms for statistical image processing. Implementation in R
Langovoy, Mikhail A
2011-01-01T23:59:59.000Z
In the series of our earlier papers on the subject, we proposed a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory and random graph theory. We developed algorithms that allowed to detect objects of unknown shapes in the presence of nonparametric noise of unknown level and of unknown distribution. No boundary shape constraints were imposed on the objects, only a weak bulk condition for the object's interior was required. Our algorithms have linear complexity and exponential accuracy. In the present paper, we describe an implementation of our nonparametric hypothesis testing method. We provide a program that can be used for statistical experiments in image processing. This program is written in the statistical programming language R.
Quantum particles from classical statistics
C. Wetterich
2010-02-11T23:59:59.000Z
Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference. The dynamics differs, however, between quantum and classical particles. We describe position, motion and correlations of a quantum particle in terms of observables in a classical statistical ensemble. On the other side, we also construct explicitly the quantum formalism with wave function and Hamiltonian for classical particles. For a suitable time evolution of the classical probabilities and a suitable choice of observables all features of a quantum particle in a potential can be derived from classical statistics, including interference and tunneling. Besides conceptual advances, the treatment of classical and quantum particles in a common formalism could lead to interesting cross-fertilization between classical statistics and quantum physics.
Statistical mechanics of gene competition
Venegas-Ortiz, Juan; Ortiz, Juan Venegas
2013-11-28T23:59:59.000Z
Statistical mechanics has been applied to a wide range of systems in physics, biology, medicine and even anthropology. This theory has been recently used to model the complex biochemical processes of gene expression and ...
Forensic Statistics: Ready for consumption?
Gill, Richard D.
in de rechtszaal. Stator. http://www.kennislink.nl/web/show?id=111865 #12;Everyday statistics · Intensive two-way interaction between statistician and subject-matter expert (client) Cyclic process of re
Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)
Lee, J.; Elmore, R.; Jones, W.
2011-02-01T23:59:59.000Z
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.
Anyonic statistics with continuous variables
Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock
2008-10-30T23:59:59.000Z
We describe a continuous-variable scheme for simulating the Kitaev lattice model and for detecting statistics of abelian anyons. The corresponding quantum optical implementation is solely based upon Gaussian resource states and Gaussian operations, hence allowing for a highly efficient creation, manipulation, and detection of anyons. This approach extends our understanding of the control and application of anyons and it leads to the possibility for experimental proof-of-principle demonstrations of anyonic statistics using continuous-variable systems.
Inferring Group Processes from Computer-Mediated Affective Text Analysis
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
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.
Are Export Premia Robust to Innovation Statistics? Flora Bellone
Paris-Sud XI, Université de
Are Export Premia Robust to Innovation Statistics? Flora Bellone Sarah Guillou Lionel Nesta pre- mium of exporters. We start by performing non parametric tests on TFP distributions on different groups of firms characterized by their export and innovation behavior. We show that the TFP distributions
Unification of fluctuation theorems and one-shot statistical mechanics
Nicole Yunger Halpern; Andrew J. P. Garner; Oscar C. O. Dahlsten; Vlatko Vedral
2014-09-12T23:59:59.000Z
Fluctuation-dissipation relations, such as Crooks' Theorem and Jarzynski's Equality, are powerful tools in quantum and classical nonequilibrium statistical mechanics. We link these relations to a newer approach known as "one-shot statistical mechanics." Rooted in one-shot information theory, one-shot statistical mechanics concerns statements true of every implementation of a protocol, not only of averages. We show that two general models for work extraction in the presence of heat baths obey fluctuation relations and one-shot results. We demonstrate the usefulness of this bridge between frameworks in several ways. Using Crooks' Theorem, we derive a bound on one-shot work quantities. These bounds are tighter, in certain parameter regimes, than a bound in the fluctuation literature and a bound in the one-shot literature. Our bounds withstand tests by numerical simulations of an information-theoretic Carnot engine. By analyzing data from DNA-hairpin experiments, we show that experiments used to test fluctuation theorems also test one-shot results. Additionally, we derive one-shot analogs of a known equality between a relative entropy and the average work dissipated as heat. Our unification of experimentally tested fluctuation relations with one-shot statistical mechanics is intended to bridge one-shot theory to applications.
Faculty of Science Mathematics and Statistics
Faculty of Science Mathematics and Statistics Mathematicians and statisticians use powerful mathematical, statistical and computational tools to solve both important theoretical problems and practical can pursue programs in mathematics, statistics, actuarial science, math and computer science
American Statistical Association National Science Foundation
Bermúdez, José Luis
American Statistical Association National Science Foundation U.S. Census Bureau ASA American Statistical Association 732 North Washington Street Alexandria, VA 22314-1943 U.S. government and analysis, statistical methodology and computing, information and behavioral science, and geography
STATISTICAL PHONE: 530.752.2361
Wang, Jane-Ling
. from 1995 to 1998, he developed further expertise in software develop- ment, statistical programming, analysis, programming, and interpretation. Since joining the Statistical Laboratory in 2005, he has R. Beran: multivariate regression, bootstrap meth- ods, statistics on manifolds, asymptotic theory P
Lifting WALKSAT-based Local Search Algorithms for MAP Inference Somdeb Sarkhel
Gogate, Vibhav
Lifting WALKSAT-based Local Search Algorithms for MAP Inference Somdeb Sarkhel Computer Science in probabilistic graphical models, and lift it to the first-order level, yielding a powerful algorithm for MAP inference in Markov logic net- works (MLNs). Lifted MaxWalkSAT is based on the obser- vation that if the MLN
What's in a Name: A Study of Names, Gender Inference, and Gender Behavior in Facebook
Saxena, Nitesh
What's in a Name: A Study of Names, Gender Inference, and Gender Behavior in Facebook Cong Tang-SWS, Kaiserslautern, Germany Email: rchen@mpi-sws.org Abstract. In this paper, by crawling Facebook public profile probability. First, we use the name list as part of a novel and powerful technique for inferring Facebook
Istrail, Sorin
Face-centered cubic (FCC) lattice models for protein folding: energy function inference and biplane simplified. The objective of PSP (also known as protein folding) is to select the molecule conformation which to infer general energy functions for the protein folding problem. While the general problem is intractable
Inferring Regulatory Elements from a Whole Genome. An Analysis of Helicobacter pylori sss80
Marsan, Laurent
Inferring Regulatory Elements from a Whole Genome. An Analysis of Helicobacter pylori sss80 Family, France Helicobacter pylori is adapted to life in a unique niche, the gastric epi- thelium of primates inference; promoter; Helicobacter pylori; prokaryotes*Corresponding author Introduction Helicobacter pylori
Perception as evidence accumulation 1 Perception as evidence accumulation and Bayesian inference
Norris, Dennis
Perception as evidence accumulation 1 Perception as evidence accumulation and Bayesian inference.norris@mrc-cbu.cam.ac.uk #12;Perception as evidence accumulation 2 Abstract In this paper we argue that perception is Bayesian inference based on accumulation of noisy evidence and that, in masked priming, the perceptual system
On the Three Forms of Non-Deductive Inferences: Induction, Abduction, and Design
Kikuchi, Makoto
On the Three Forms of Non-Deductive Inferences: Induction, Abduction, and Design Makoto Kikuchi@kobe-u.ac.jp ABSTRACT Induction and abduction are well known non-deductive inferences. We shall propose that design-Based Reasoning, Case-Based Reasoning, Induc- tion, Abduction, Design, Channel Theory 1 Introduction In the late
ASIAN: a web server for inferring a regulatory network framework from gene expression profiles
Babu, M. Madan
ASIAN: a web server for inferring a regulatory network framework from gene expression profiles developed to deduce the gene regulatory network. Here, we describe our web server for inferring a framework matrix between variables, and therefore, our server can analyze a wide variety of data within
Passive Loss Inference in Wireless Sensor Networks Based on Network Coding
Li, Baochun
Passive Loss Inference in Wireless Sensor Networks Based on Network Coding Yunfeng Lin, Ben Liang, Baochun Li Department of Electrical and Computer Engineering University of Toronto {ylin, bli it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inference
Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models
Salvucci, Dario D.
Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models Dario D dario+@cs.cmu.edu ABSTRACT While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye
A Reliable-Inference Framework for Recognition of Human Actions James W. Davis Ambrish Tyagi
Davis, James W.
A Reliable-Inference Framework for Recognition of Human Actions James W. Davis Ambrish Tyagi Dept. of Computer and Information Science Ohio State University Columbus, OH 43210 USA {jwdavis,tyagia}@cis.ohio are considered, this domain is a particularly good experimental testbed for the reliable-inference approach. We
A Deep Inference System for the Modal Logic S5 Phiniki Stouppa
Jäger, Gerhard
A Deep Inference System for the Modal Logic S5 Phiniki Stouppa March 1, 2006 Abstract We present a cut-admissible system for the modal logic S5 in a for- malism that makes explicit and intensive use are in exact correspondence to the modal axioms. Keywords modal logic S5, proof theory, deep inference
Inferring Type Maps during Garbage Collection HansJ. Boehm Zhong Shao
Inferring Type Maps during Garbage Collection HansJ. Boehm Zhong Shao boehm@parc.xerox.com zsh@cs.princeton.edu September 10, 1993 Abstract Conservative garbage collectors are designed to operate in environments that do during the garbage collection time. The inferred information might be used to make the subsequent passes
Pelachaud, Catherine
Pro- cessing and Computer Vision]: Image Representation; I.5.1 [Pattern Recognition]: ModelsA Multimodal Fuzzy Inference System Using a Continuous Facial Expression Representation for Emotion a multimodal fuzzy inference system for emotion detection. The system extracts and merges visual, acoustic
BAYESIAN INFERENCE FOR MODELS OF TRANSCRIPTIONAL REGULATION USING MARKOV CHAIN MONTE CARLO SAMPLING
Opper, Manfred
]. In this contribution we present a Markov chain Monte Carlo (MCMC) sampler which infers the TF activity based on a modelBAYESIAN INFERENCE FOR MODELS OF TRANSCRIPTIONAL REGULATION USING MARKOV CHAIN MONTE CARLO SAMPLING]. Transcription of genes is controlled by proteins which can bind to particular base-sequences of DNA
Hartley, R.S. [EG and G Idaho, Inc., Idaho Falls, ID (United States); Keller, A.E. [Nuclear Regulatory Commission, Washington, DC (United States)
1992-09-01T23:59:59.000Z
This document discusses inservice testing of safety-related components at nuclear power plants which is performed under the American Society of Mechanical Engineers Boiler and Pressure Vessel Code (the Code). Subsections IWP and IWV of Section XI of the Code state test method and frequency requirements for pumps and valves respectively. Tests vary greatly in quality and frequency. This paper explores the concept of test quality and its relationship with operational readiness and preventive maintenance. This paper also considers the frequencies of component testing. Test quality is related to a test`s ability to detect degradation that can cause component failure. The quality of the test depends on several factors, including specific parameters measured, system or component conditions, and instrument accuracy. The quality of some currently required tests for check valves, motor-operated valves, and pumps is also discussed. Suggestions are made to improve test quality by measuring different parameters, testing valves under load, and testing positive displacement pumps at high pressure and centrifugal pumps at high flow rate conditions. These suggestions can help to improve the level of assurance of component operational readiness gained from testing.
Zhang, Li-Xin
Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics Â§1.2 Fundamental Con Mathematical Statistics Zhang, Lixin and Dai, Jialing Course Website: www.math.zju.edu.cn/zlx/teaching.htm #12;Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas
Approximate Inference in Probabilistic Models Manfred Opper1
of Electronics and Computer Science University of Southampton SO17 1BJ, United Kingdom mo@ecs.soton.ac.uk 2 on free energies. The free energy is constructed from two approximating distributions which encode differ Energy (GFE), an entropic quantity which (originally developed in Statistical Physics) allows us
Moore honored with American Statistical Association award
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
American Statistical Association Award Moore honored with American Statistical Association award Lisa Moore is the recipient of the 2013 Don Owen Award presented by the American...
DEPARTMENT OF STATISTICS Hilary Term 2007 MSc and Diploma in Applied Statistics
Goldschmidt, Christina
DEPARTMENT OF STATISTICS Â Hilary Term 2007 MSc and Diploma in Applied Statistics DAY HOUR TITLE LECTURER PLACE MON 12-1 Time Series (wks 1-4) Dr Laws Statistics 12-1 MCMC and Applied Bayesian Statistics (wks 5-7) Professor Reinert Statistics 2-3 Statistical Data Mining (wks 1-8) Dr Nicholls Maths
Hartley, R.S. (EG and G Idaho, Inc., Idaho Falls, ID (United States)); Keller, A.E. (Nuclear Regulatory Commission, Washington, DC (United States))
1992-01-01T23:59:59.000Z
This document discusses inservice testing of safety-related components at nuclear power plants which is performed under the American Society of Mechanical Engineers Boiler and Pressure Vessel Code (the Code). Subsections IWP and IWV of Section XI of the Code state test method and frequency requirements for pumps and valves respectively. Tests vary greatly in quality and frequency. This paper explores the concept of test quality and its relationship with operational readiness and preventive maintenance. This paper also considers the frequencies of component testing. Test quality is related to a test's ability to detect degradation that can cause component failure. The quality of the test depends on several factors, including specific parameters measured, system or component conditions, and instrument accuracy. The quality of some currently required tests for check valves, motor-operated valves, and pumps is also discussed. Suggestions are made to improve test quality by measuring different parameters, testing valves under load, and testing positive displacement pumps at high pressure and centrifugal pumps at high flow rate conditions. These suggestions can help to improve the level of assurance of component operational readiness gained from testing.
NDE reliability through round robin testing
Fong, J.T.; Mordfin, L.; Hedden, O.F.; Bush, S.H.
1986-01-01T23:59:59.000Z
This book presents the papers given at a conference on the accuracy of nondestructive testing. Topics considered at the conference included the design of a round robin ultrasonic testing program for piping, new advances in nondestructive evaluation analysis, the statistical handling of the data, the requalification of ultrasonic testing inspectors for the detection of intergranular stress corrosion cracking in BWR plants, and an overview of round robin testing.
Test Images. I hope to have a set of test images for the course soon. Some images are available now; some will have to wait until I can find another 100-200
A test for second order stationarity of a time series based on the Discrete Fourier Transform
Subba Rao, Suhasini
A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution
STATISTICS IN MEDICINE Statist. Med. 2009; 28:34543466
McLachlan, Geoff
of Western Australia, Perth, Australia 4Centre for Statistics, University of Queensland, Brisbane, Australia, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia 2Department of Management Research Institute, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia. E
STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)
Gelman, Andrew
1999-01-01T23:59:59.000Z
States. Much of the variation in observed cancer death rates by county is attributable to statistical to have extremely high (or low) cancer rates when compared to typical counties in the United States. Thus to keep a speciÃ¿c example in mind. Consider the mapping of cancer mortality rates by county in the United
STAT 639v: Topics in Statistics Statistical Computing
Petris, Giovanni
, or by appointment. Textbooks: Braun and Murdoch (2007), A First Course in Statistical Programming with R, Cambridge roughly every two or three weeks. Outline syllabus: After learning the R programming language, we, the bootstrap. Computing: The computer language we will be using is R. The latest version of R is installed
Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M. (Peterson AFB, CO); Ray, J. P.
2006-01-01T23:59:59.000Z
Terrorist attacks using an aerosolized pathogen preparation have gained credibility as a national security concern after the anthrax attacks of 2001. The ability to characterize such attacks, i.e., to estimate the number of people infected, the time of infection, and the average dose received, is important when planning a medical response. We address this question of characterization by formulating a Bayesian inverse problem predicated on a short time-series of diagnosed patients exhibiting symptoms. To be of relevance to response planning, we limit ourselves to 3-5 days of data. In tests performed with anthrax as the pathogen, we find that these data are usually sufficient, especially if the model of the outbreak used in the inverse problem is an accurate one. In some cases the scarcity of data may initially support outbreak characterizations at odds with the true one, but with sufficient data the correct inferences are recovered; in other words, the inverse problem posed and its solution methodology are consistent. We also explore the effect of model error-situations for which the model used in the inverse problem is only a partially accurate representation of the outbreak; here, the model predictions and the observations differ by more than a random noise. We find that while there is a consistent discrepancy between the inferred and the true characterizations, they are also close enough to be of relevance when planning a response.
AstroStat - A VO Tool for Statistical Analysis
Kembhavi, Ajit K; Kale, Tejas; Jagade, Santosh; Vibhute, Ajay; Garg, Prerak; Vaghmare, Kaustubh; Navelkar, Sharmad; Agrawal, Tushar; Nandrekar, Deoyani; Shaikh, Mohasin
2015-01-01T23:59:59.000Z
AstroStat is an easy-to-use tool for performing statistical analysis on data. It has been designed to be compatible with Virtual Observatory (VO) standards thus enabling it to become an integral part of the currently available collection of VO tools. A user can load data in a variety of formats into AstroStat and perform various statistical tests using a menu driven interface. Behind the scenes, all analysis is done using the public domain statistical software - R and the output returned is presented in a neatly formatted form to the user. The analyses performable include exploratory tests, visualizations, distribution fitting, correlation & causation, hypothesis testing, multivariate analysis and clustering. The tool is available in two versions with identical interface and features - as a web service that can be run using any standard browser and as an offline application. AstroStat will provide an easy-to-use interface which can allow for both fetching data and performing power statistical analysis on ...
Can Core Flows inferred from Geomagnetic Field Models explain the Earth's Dynamo?
Schaeffer, Nathanaël; Pais, Maria Alexandra
2015-01-01T23:59:59.000Z
We test the ability of velocity fields inferred from geomagnetic secular variation data to produce the global magnetic field of the Earth. Our kinematic dynamo calculations use quasi-geostrophic (QG) flows inverted from geomagnetic field models which, as such, incorporate flow structures that are Earth-like and may be important for the geodynamo. Furthermore, the QG hypothesis allows straightforward prolongation of the flow from the core surface to the bulk. As expected from previous studies, we check that a simple quasi-geostrophic flow is not able to sustain the magnetic field against ohmic decay. Additional complexity is then introduced in the flow, inspired by the action of the Lorentz force. Indeed, on centenial timescales, the Lorentz force can balance the Coriolis force and strict quasi-geostrophy may not be the best ansatz. When the columnar flow is modified to account for the action of the Lorentz force, magnetic field is generated for Elsasser numbers larger than 0.25 and magnetic Reynolds numbers l...
Statistics and Discoveries at the LHC (3/4)
None
2011-10-06T23:59:59.000Z
The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.
Statistics and Discoveries at the LHC (2/4)
None
2011-10-06T23:59:59.000Z
The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.
Statistics and Discoveries at the LHC (1/4)
None
2011-10-06T23:59:59.000Z
The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.
Statistics and Discoveries at the LHC (4/4)
None
2011-10-06T23:59:59.000Z
The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.
advanced statistical methods: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
binomial, Poisson Gordon, Geoffrey J. 7 Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Mathematics Websites Summary: Statistics 36-756: Advanced Statistics II...
Inferences On The Hydrothermal System Beneath The Resurgent Dome...
System Beneath The Resurgent Dome In Long Valley Caldera, East-Central California, USA, From Recent Pumping Tests And Geochemical Sampling Jump to: navigation, search OpenEI...
Li, Mohan
2012-10-19T23:59:59.000Z
of decorrelation in the RF data. In this thesis, a 3D elastography algorithm that estimates all the three components of tissue displacement is implemented and tested statistically. In this research, displacement fields of mechanical models are simulated. RF signals...
Kambhampati, Patanjali
Department of Mathematics and Statistics ___________________________ The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The Department welcomes or complex data settings, including high dimensional regression, computational statistics and statistical
FISHERY STATISTICS F THE UNITED STATES
FISHERY STATISTICS »F THE UNITED STATES ^ 1954 ,M^,. 'M' . ' J*"'',-,'i''' ' STATISTICAL DIGEST NO DEPARTMENT OF THE INTERIOR, Fred A. Seaton, Secretary FISH AND WILDLIFE SERVICE PANIELM. COHEN Statistical Digest 39 FISHERY STATISTICS OF THE UNITED STATES 1954 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 1952 .^£^ STATISTICAL DIGEST NO. 34 Fish and Wildlife McKay, Secretary FISH AND WILDLIFE SERVICE, John L. Farley, Director -iJ^EUW^ .COHEN Statistical Digest 34 FISHERY STATISTICS OF THE UNITED STATES 1952 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1966 STATISTICAL DIGEST NO. 60 UNITED STATES DEPARTMENT OF THE INTERIOR U.S. FISH AND WILDLIFE SERVICE Bureau of Commercial Fisheries STATISTICAL DIGEST 60 FISHERY STATISTICS OF THE UNITED STATES 1966 BY Charles H. Lyles PUBLISHED BY BUREAU OF COMMERCIAL FISHERIES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1959 ^mmi STATISTICAL DIGEST NO. 51 UNITED STATES DEPARTMl of Commercial Fisheries, Donald L. McKernan, Director jPANlELM COHEN FISH AND WILDLIFE SERVICE STATISTICAL DIGEST 51 FISHERY STATISTICS OF THE UNITED STATES 1959 BY E. A. POWER PUBLISHED BY BUREAU OF COMMERCIAL
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1946 STATISTICAL DIGEST NO, 19 Fish and Wildlike Sekvice L. Chapman, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 19 FISHERY STATISTICS OF THE UNITED STATES 1946 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT
The University of Connecticut Department of Statistics
Blei, Ron
1 The University of Connecticut Department of Statistics Graduate Program Founded in 1963, the Department is one of the major statistics departments in the Northeast and has national and international and statistics, spanning virtually all modern areas of statistical applications. Graduate education has been
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES SH 11 A443X FISH 1948 STATISTICAL DIGEST NO. 22 Fish OF THE INTERIOR, Oscar L. Chapman, Secretary FISH AND WILDLIFE SERVICE, Albert M. Day, Director Statistical Digest 22 FISHERY STATISTICS OF THE UNITED STATES 1948 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1945 STATISTICAL DIGEST NO, 18 United States Dejtartment. Krug, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 18 FISHERY STATISTICS OF THE UNITED STATES 1945 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT PRINTING
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 1947 cf^^v'^ml STATISTICAL DIGEST NO. 21 Fish Oscar L. Chapman, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 21 PI^j^IELW' , COHEN FISHERY STATISTICS OF THE UNITED STATES 1947 BY A. W. ANDERSON and E. A. POWER UNITED STATES
C. Shane Reese Department of Statistics
Reese, Shane
of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association Applications and Case, SRCOS/ASA Research Conference A#liations American Statistical Association, Biometric Society (WNAR), IMSpresent Associate Editor, Journal of the American Statistical Association 20062008 Vicechair, ASA
DEPARTMENT OF STATISTICS ANNUAL REPORT 2006
Goodman, James R.
Waksberg Award from the American Statistical Association and the Statistical Society of Canada for his work Statistical Association, was held at Sky City in Auckland on July 3 to 6 with David Scott as ChairDEPARTMENT OF STATISTICS ANNUAL REPORT 2006 Highlights Last year I highlighted the fact that Ross
LIDIA REJTO Statistics Program, Department of FREC
RejtÃµ, LÃdia
LÂ´IDIA REJTO Statistics Program, Department of FREC CANR, University of Delaware 214 Townsend Hall package. Familiar with statistical softwares R, S-Plus, BMDP, SAS, MINITAB. PROFESSIONAL EXPERIENCES Permanent Position: Full Professor, Director of Statistical Laboratory, Statistics Program, Department
Inferring Magnetospheric Heavy Ion Density using EMIC Waves
Kim, Eun-Hwa; Johnson, Jay R.; Kim, Hyomin; Lee, Dong-Hun
2014-05-01T23:59:59.000Z
We present a method to infer heavy ion concentration ratios from EMIC wave observations that result from ionion hybrid (IIH) resonance. A key feature of the ion-ion hybrid resonance is the concentration of wave energy in a field-aligned resonant mode that exhibits linear polarization. This mode converted wave is localized at the location where the frequency of a compressional wave driver matches the IIH resonance condition, which depends sensitively on the heavy ion concentration. This dependence makes it possible to estimate the heavy ion concentration ratio. In this letter, we evaluate the absorption coefficients at the IIH resonance at Earth's geosynchronous orbit for variable concentrations of He+ and field-aligned wave numbers using a dipole magnetic field. Although wave absorption occurs for a wide range of heavy ion concentrations, it only occurs for a limited range of field-aligned wave numbers such that the IIH resonance frequency is close to, but not exactly the same as the crossover frequency. Using the wave absorption and observed EMIC waves from GOES-12 satellite, we demonstrate how this technique can be used to estimate that the He+ concentration is around 4% near L = 6.6.
Purdue Agriculture Annual Statistical Report
Purdue Agriculture Research Works Annual Statistical Report 2005-2006 Purdue AGrICuLTure Read the full report on the Web www.ag.purdue.edu/arp/stat_report_05-06 #12;Purdue AGrICuLTure Purdue Agriculture Research Works Here's why. We are riding the wave of revolutionary changes brought about
Statistics Colloquium Dr. Noel Cadigan
Oyet, Alwell
:00a.m., HH-3026 Statistical problems to address for some NL fish stocks when deriving Maximum prescribed actions should occur when stock size or fishing mortality rates (F) exceed the reference points. This is the biomass that should result in the long term when fishing at Fmsy Â the harvest rate that maximizes long
Statistics in Practice Forensic Science
Lucy, David
". · Greater use of trace evidence (paint/glass/fibres). · DNA revolution. The rise of DNA was coincident: · Trace evidence (glass/paint/fibres) being treated statistically. · More evidence types: · common partner Sally Rose. · He picked up a champagne bottle and struck her on the head. · Rose died at the scene
Statistical mechanics of the vacuum
Christian Beck
2012-03-01T23:59:59.000Z
The vacuum is full of virtual particles which exist for short moments of time. In this paper we construct a chaotic model of vacuum fluctuations associated with a fundamental entropic field that generates an arrow of time. The dynamics can be physically interpreted in terms of fluctuating virtual momenta. This model leads to a generalized statistical mechanics that distinguishes fundamental constants of nature.
Nonclassical Velocity Statistics in a Turbulent Atomic Bose-Einstein Condensate
White, A. C.; Barenghi, C. F.; Proukakis, N. P.; Youd, A. J.; Wacks, D. H. [School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU (United Kingdom)
2010-02-19T23:59:59.000Z
In a recent experiment Paoletti et al. [Phys. Rev. Lett. 101, 154501 (2008)] monitored the motion of tracer particles in turbulent superfluid helium and inferred that the velocity components do not obey the Gaussian statistics observed in ordinary turbulence. Motivated by their experiment, we create a small 3D turbulent state in an atomic Bose-Einstein condensate, compute directly the velocity field, and find similar nonclassical power-law tails. We obtain similar results in 2D trapped and 3D homogeneous condensates, and in classical 2D vortex points systems. This suggests that non-Gaussian turbulent velocity statistics describe a fundamental property of quantum turbulence. We also track the decay of the vortex tangle in the presence of the thermal cloud.
Introduction to statistical models and non-extensive statistics
T. S. Biro
2005-07-27T23:59:59.000Z
Quark matter is being expected to be found in heavy ion collisions on the basis of calculations in the framework of traditional, extensive thermodynamics. Recently a non-extensive generalization of the thermodynamics is emerging in the theoretical research. We review here some basic concepts in statistics, kinetic theory and thermodynamics, in particular those encountered in non-extensive thermodynamics. This offers an introduction into the theoretical basis of considering non-extensive parton kinetics for describing the hadronization of quark matter.
Masson, Jean-Baptiste; Salvatico, Charlotte; Renner, Marianne; Specht, Christian G; Triller, Antoine; Dahan, Maxime
2015-01-01T23:59:59.000Z
Protein mobility is conventionally analyzed in terms of an effective diffusion. Yet, this description often fails to properly distinguish and evaluate the physical parameters (such as the membrane friction) and the biochemical interactions governing the motion. Here, we present a method combining high-density single-molecule imaging and statistical inference to separately map the diffusion and energy landscapes of membrane proteins across the cell surface at ~100 nm resolution (with acquisition of a few minutes). When applying these analytical tools to glycine neurotransmitter receptors (GlyRs) at inhibitory synapses, we find that gephyrin scaffolds act as shallow energy traps (~3 kBT) for GlyRs, with a depth modulated by the biochemical properties of the receptor-gephyrin interaction loop. In turn, the inferred maps can be used to simulate the dynamics of proteins in the membrane, from the level of individual receptors to that of the population, and thereby, to model the stochastic fluctuations of physiologi...
RUNNING HEAD: Balkanization of Probability Balkanization and Unification of Probabilistic Inferences
Yu, Alex
RUNNING HEAD: Balkanization of Probability Balkanization and Unification of Probabilistic;Balkanization of Probability 2 Abstract Many research-related classes in social sciences present probability;Balkanization of Probability 3 Balkanization and Unification of Probabilistic Inferences Introduction Use
Barford, Paul
1 Inferring Unseen Components of the Internet Core Brian Eriksson, Paul Barford, Joel Sommers is with the Department of Computer Science, University of Wisconsin - Madison and Qualys. J. Sommers
FPGA-Based Fuzzy Inference System for Real-time Embedded Applications
) on an FPGA. The implemented FPGA- based FIS has been used to control the operation of a permanent magnet (PM; the fuzzifier, rule base, inference engine and defuzzifier, as shown in Fig. 1. A crisp input is fuzzified
Double-beam stacking to infer seismic properties of fractured reservoirs
Zheng, Yingcai
2011-01-01T23:59:59.000Z
We develop a theory for using 3D beam interference to infer scattering properties of a fractured reservoir using reflected seismic P data. For the sake of simplicity, we use Gaussian beams. The scattering properties are ...
Nonlinear Goal-Oriented Bayesian Inference: Application to Carbon Capture and Storage
Lieberman, Chad
In many engineering problems, unknown parameters of a model are inferred in order to make predictions, to design controllers, or to optimize the model. When parameters are distributed (continuous) or very high-dimensional ...
Inference on Treatment Effects after Selection amongst High-Dimensional Controls
Belloni, Alexandre
2012-05-03T23:59:59.000Z
We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic ...
Paris-Sud XI, Université de
Hydromechanical interactions in a fractured carbonate reservoir inferred from hydraulic, France Abstract Hydromechanical coupled processes in a shallow fractured carbonate reservoir rock were fracture network made up of vertical faults and bedding planes. Hydromechanical response of the reservoir
From free energy measurements to free energy inference in small systems Felix Ritort
Potsdam, Universität
From free energy measurements to free energy inference in small systems the knowledge of the free energy of nucleic acid and protein structures the free energy of pure equilibrium states, FTs have been extended
Cirpka, Olaf Arie
Geostatistical inference of hydraulic conductivity and dispersivities from hydraulic heads; accepted 25 April 2006; published 10 August 2006. [1] In groundwater, hydraulic heads and solute arrival times depend primarily on the hydraulic conductivity field and hydraulic boundary conditions. The spread
The Effect of Graph Layout on Inference from Social Network Data
Blythe, Jim
The Effect of Graph Layout on Inference from Social Network Data Jim Blythe 1 and Cathleen Mc of information to be #12; Ivo Jack Ben York Earl Rick Mel Dale Robin Nan Gerry Bob Fran Walt Ovid Gary Chris Hugh
Neutron beam testing of triblades
Michalak, Sarah E [Los Alamos National Laboratory; Du Bois, Andrew J [Los Alamos National Laboratory; Storlie, Curtis B [Los Alamos National Laboratory; Rust, William N [Los Alamos National Laboratory; Du Bois, David H [Los Alamos National Laboratory; Modl, David G [Los Alamos National Laboratory; Quinn, Heather M [Los Alamos National Laboratory; Blanchard, Sean P [Los Alamos National Laboratory; Manuzzato, Andrea [UNIV DEGLI STUDI DI PADOVA ITALY
2010-12-16T23:59:59.000Z
Four IBM Triblades were tested in the Irradiation of Chips and Electronics facility at the Los Alamos Neutron Science Center. Triblades include two dual-core Opteron processors and four PowerXCell 8i (Cell) processors. The Triblades were tested in their field configuration while running different applications, with the beam aimed at the Cell processor or the Opteron running the application. Testing focused on the Cell processors, which were tested while running five different applications and an idle condition. While neither application nor Triblade was statistically important in predicting the hazard rate, the hazard rate when the beam was aimed at the Opterons was significantly higher than when it was aimed at the Cell processors. In addition, four Cell blades (one in each Triblade) suffered voltage shorts, leading to their inoperability. The hardware tested is the same as that in the Roadrunner supercomputer.
Parallel contingency statistics with Titan.
Thompson, David C.; Pebay, Philippe Pierre
2009-09-01T23:59:59.000Z
This report summarizes existing statistical engines in VTK/Titan and presents the recently parallelized contingency statistics engine. It is a sequel to [PT08] and [BPRT09] which studied the parallel descriptive, correlative, multi-correlative, and principal component analysis engines. The ease of use of this new parallel engines is illustrated by the means of C++ code snippets. Furthermore, this report justifies the design of these engines with parallel scalability in mind; however, the very nature of contingency tables prevent this new engine from exhibiting optimal parallel speed-up as the aforementioned engines do. This report therefore discusses the design trade-offs we made and study performance with up to 200 processors.
HistFitter software framework for statistical data analysis
M. Baak; G. J. Besjes; D. Cote; A. Koutsman; J. Lorenz; D. Short
2014-10-06T23:59:59.000Z
We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton-proton collisions at the Large Hadron Collider at CERN. Since 2012 HistFitter has been the standard statistical tool in searches for supersymmetric particles performed by ATLAS. HistFitter is a programmable and flexible framework to build, book-keep, fit, interpret and present results of data models of nearly arbitrary complexity. Starting from an object-oriented configuration, defined by users, the framework builds probability density functions that are automatically fitted to data and interpreted with statistical tests. A key innovation of HistFitter is its design, which is rooted in core analysis strategies of particle physics. The concepts of control, signal and validation regions are woven into its very fabric. These are progressively treated with statistically rigorous built-in methods. Being capable of working with multiple data models at once, HistFitter introduces an additional level of abstraction that allows for easy bookkeeping, manipulation and testing of large collections of signal hypotheses. Finally, HistFitter provides a collection of tools to present results with publication-quality style through a simple command-line interface.
STATISTICAL MECHANICS PRACTICE EXAM 2005
Dorlas, Teunis C.
STATISTICAL MECHANICS PRACTICE EXAM 2005 Time allotted: 3 hours for 5 questions. 1. (i) Give density of a system of independent spins si = ±1 with energy levels given by E(s1, . . . , sN ) = -H N i=1 si. 2. (i) Derive the expression f() = - 1 ln eJ cosh H + e2J sinh2 H + e-2J for the free energy
Chen, Xingyuan; Miller, Gretchen R.; Rubin, Yoram; Baldocchi, Dennis
2012-09-13T23:59:59.000Z
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.
Parallel auto-correlative statistics with VTK.
Pebay, Philippe Pierre [Kitware, France; Bennett, Janine Camille
2013-08-01T23:59:59.000Z
This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics 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 autocorrelative statistics engine.
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS
Shepp, Larry
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS ASSISTANT PROFESSOR POSITION IN STATISTICS, BIOSTATISTICS, OR COMPUTATIONAL STATISTICS (TENURE-TRACK) The Department of Statistics at Florida State University invites applications for a tenure-track position in statistics
Keller, Christine; Shulenburger, David E.
2010-01-01T23:59:59.000Z
KU ScholarWorks | http://kuscholarworks.ku.edu Test Comparability 2010 by Christine Keller and David Shulenburger This work has been made available by the University of Kansas Libraries’ Office of Scholarly Communication and Copyright. Please... and Shulenburger, David. “Test comparability,” with Christine Keller in the Letters section of Change, September/October 2010, p. 6. Published version: http://www.changemag.org/Archives/Back%20 Issues/September-October%202010/letters-to-editor.html Terms of Use...
Statistical methods for detecting loss of materials using NRTA data
Burr, T.; Coulter, A.; Hakkila, A. [Los Alamos National Lab., NM (United States); Ai, H.; Kadokura, I.; Fujimaki, K. [Japan Nuclear Fuel Ltd., Tokyo (Japan)
1995-12-31T23:59:59.000Z
The authors selected eight sequential statistical tests and studied their performance on near-real-time-accounting (NRTA) data that is nominally what is expected from the proposed Rokkasho Reprocessing Plant in Japan. The effort divided into three main activities: (1) use process-flow information to determine process vessel inventories and transfers at the time of material balance closure, (2) use variance propagation methods to estimate the variance-covariance matrix of a sequence of material balances, and (3) study the performance of eight sequential tests on a variety of loss scenarios. This paper describes the results of these three activities.
Test Automation Ant JUnit Test Automation
Mousavi, Mohammad
Test Automation Ant JUnit Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2012 Mousavi: Test Automation #12;Test Automation Ant JUnit Outline Test Automation Ant JUnit Mousavi: Test Automation #12;Test Automation Ant JUnit Why? Challenges of Manual Testing
Ponce, V. Miguel
American Statistical Association Names Fellows for 2010 ALEXANDRIA VA (PRWEB) MAY 20, 2010 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today the American Statistical Association The American Statistical Association (ASA), a scientific and educational
Seismic Attribute Analysis Using Higher Order Statistics
Greenidge, Janelle Candice
2009-05-15T23:59:59.000Z
Seismic data processing depends on mathematical and statistical tools such as convolution, crosscorrelation and stack that employ second-order statistics (SOS). Seismic signals are non-Gaussian and therefore contain information beyond SOS. One...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series STEFFEN LAURITZEN Department of Statistics University of Oxford Bayesian Networks for the Analysis of DNA Mixtures MONDAY, May 21, 2009, at 4
Statistical Review of California's Organic Agriculture
Ferrara, Katherine W.
Statistical Review of California's Organic Agriculture 2005 2009 Karen Klonsky Kurt Richter Agricultural Issues Center University of California March 2011 #12;Statistical Review of California's Organic Agriculture 2005 2009 Karen Klonsky Extension Specialist Department of Agricultural and Resource Economics
|Research Focus Statistical decision theory and evolution
Maloney, Laurence T.
|Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey
Kansas Statistical Abstract 2005 (40th Edition)
Policy Research Institute
2008-10-21T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, finance, state and local...
Kansas Statistical Abstract 2013 (48th Edition)
Institute for Policy & Social Research
2014-09-01T23:59:59.000Z
The Kansas Statistical Abstract 2013, contains the latest available state, county, and city-level data for Kansas on population, vital statistics and health, housing, education, business and manufacturing, exports, employment, ...
Kansas Statistical Abstract 2001 (36th Edition)
2002-12-01T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Kansas Statistical Abstract 2004 (39th Edition)
Policy Research Institute
2006-01-31T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Kansas Statistical Abstract 2003 (38th Edition)
Policy Research Institute
2004-09-01T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Kansas Statistical Abstract 2012 (47th Edition)
Institute for Policy & Social Research
2014-05-27T23:59:59.000Z
The Kansas Statistical Abstract 2012, contains the latest available state, county, and city-level data for Kansas on population, vital statistics and health, housing, education, business and manufacturing, exports, employment, ...
Kansas Statistical Abstract 2002 (37th Edition)
2003-09-01T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Three regimes of extrasolar planets inferred from host star metallicities
Buchhave, Lars A; Latham, David W; Sasselov, Dimitar; Cochran, William D; Endl, Michael; Isaacson, Howard; Juncher, Diana; Marcy, Geoffrey W
2014-01-01T23:59:59.000Z
Approximately half of the extrasolar planets (exoplanets) with radii less than four Earth radii are in orbits with short periods. Despite their sheer abundance, the compositions of such planets are largely unknown. The available evidence suggests that they range in composition from small, high-density rocky planets to low-density planets consisting of rocky cores surrounded by thick hydrogen and helium gas envelopes. Understanding the transition from the gaseous planets to Earth-like rocky worlds is important to estimate the number of potentially habitable planets in our Galaxy and provide constraints on planet formation theories. Here we report the abundances of heavy elements (that is, the metallicities) of more than 400 stars hosting 600 exoplanet candidates, and find that the exoplanets can be categorized into three populations defined by statistically distinct (~ 4.5{\\sigma}) metallicity regions. We interpret these regions as reflecting the formation regimes of terrestrial-like planets (radii less than 1...
Subba Rao, Suhasini
A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has
Stratigraphic statistical curvature analysis techniques
Bengtson, C.A.; Ziagos, J.P.
1987-05-01T23:59:59.000Z
SCAT applies statistical techniques to dipmeter data to identify patterns of bulk curvature, determine transverse and longitudinal structural directions, and reconstruct cross sections and contour maps. STRAT-SCAT applies the same concepts to geometric interpretation of multistoried unimodal, bimodal, or trough-type cross-bedding and also to seismic stratigraphy-scale stratigraphic structures. Structural dip, which comprises the bulk of dipmeter data, is related to beds that (statistically) were deposited with horizontal attitudes; stratigraphic dip is related to beds that were deposited with preferentially oriented nonhorizontal attitudes or to beds that assumed such attitudes because of differential compaction. Stratigraphic dip generates local zones of departure from structural dip on special SCAT plots. The RMS (root-mean-square) of apparent structural dip is greatest in the (structural) T-direction and least in the perpendicular L-direction; the RMS of stratigraphic dip (measured with respect to structural dip) is greatest in the stratigraphic T*-direction and least in the stratigraphic L*-direction. Multistoried, cross-bedding appears on T*-plots as local zones of either greater scatter or statistically significant departure of stratigraphic median dip from structural dip. In contrast, the L*-plot (except for trough-type cross-bedding) is sensitive to cross-bedding. Seismic stratigraphy-scale depositional sequences are identified on Mercator dip versus azimuth plots and polar tangent plots as secondary cylindrical-fold patterns imposed on global structural patterns. Progradational sequences generate local cycloid-type patterns on T*-plots, and compactional sequences generate local cycloid-type patterns on T*-plots, and compactional sequences generate local half-cusp patterns. Both features, however, show only structural dip on L*-plots.
Fiber optic interferometry: Statistics of visibility and closure phase
E. Tatulli; A. Chelli
2005-08-19T23:59:59.000Z
Interferometric observations with three telescopes or more provide two observables: closure phase information together with visibilities measurements. When using single-mode interferometers, both observables have to be redefined in the light of the coupling phenomenon betwe en the incoming wavefront and the fiber. We introduce in this paper the estimator of both so-called modal visibility and modal closure phase. Then, we compute the statistics of the two observables in presence of partial correction by Adaptive Optics. From this theoretical analysis, data reduction process using classical least square minimization is investigated. In the framework of the AMBER instrument, the three beams recombiner of the VLTI, we simulate the observation of a single Gaussian source and we study the performances of the interferometer in terms of diameter measurements. We show that the observation is optimized, i.e. that the Signal to Noise Ratio (SNR) of the diameter is maximal, when the full width half maximum (FWHM) of the source is roughly 1/2 of the mean resolution of the interferometer. We finally point out that in the case of an observation with 3 telescopes, neglecting the correlation between the measurements leads to overestimate the SNR by a factor of $\\sqrt{2}$. We infer that in any cases, this value is an upper limit.
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics BAHADUR MEMORIAL LECTURES JAMES O. BERGER Department of Statistical Science Duke University Bayesian Adjustment for Multiplicity MONDAY, April 11, 2011 for multiplicity in non-Bayesian statistics. Not all assignments of prior probabilities adjust for multiplicity
Rich Levine Department of Mathematics and Statistics
Goldberg, Fred M.
Rich Levine Department of Mathematics and Statistics San Diego State University Integrating Change in statistics instruction through the SDSU ITS Course Design Institute (CDI) and the CSU Promising Course Redesign program. The studies consider student success in an online offering of a core applied statistics
Online Course Syllabus STATS 7: Basic Statistics
Loudon, Catherine
Online Course Syllabus Page 1 STATS 7: Basic Statistics Summer Session I 2011 Class Meeting at UC Irvine where she has been teaching statistics for many years. She is also involved in the development of educational material for statistics, from helping to conceive a TV program for distance
Peter Brien Bureau of Justice Statistics
Hemmers, Oliver
Peter Brien Bureau of Justice Statistics Overview Federal law prohibits the transfer of a firearm been convicted of a domestic violence misdemeanor (18 USC § 922(g)). The Bureau of Justice Statistics provides as part of its Firearm Inquiry Statistics (FIST) project. Some of the highlights from the survey
STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014
Schrag, Daniel
STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014 TALK: 4:15 PM -- SCIENCE CENTER RM. 705 RECEPTION: 3 Department of Statistics University of California, Berkeley ABSTRACT In a 2009 PNAS article, based on work at appropriate speeds. We discuss these results and argue that while they are hard to interpret statistically
40.530: Statistics Professor Chen Zehua
Chen, Zehua
40.530: Statistics Professor Chen Zehua Singapore University of Design and Technology Professor Chen Zehua 40.530: Statistics #12;Lecture 4: Population and sample, models, Sufficiency and completeness Population, sample and statistic Natural population: A natural population is usually a collection
College of Arts and Sciences STA Statistics
MacAdam, Keith
College of Arts and Sciences STA Statistics KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 STA 200 STATISTICS: A FORCE IN HUMAN JUDGMENT. (3) This course is concerned with the interaction of the science and art of statistics with our
DEPARTMENT OF STATISTICS University of Wisconsin
Sheridan, Jennifer
REPORT NO. 1173 March 11, 2013 Statistical Model Building, Machine Learning, and the Ah-Ha Moment Grace assorted remarks. Fol- lowing is my contribution. 1 #12;Chapter 1 Statistical Model Building, Machine to young statisticians. We conclude with remarks on issues relating to statistical model building/machine
Tutorials on AstroStatistics and R
Wolfe, Patrick J.
Tutorials on AstroStatistics and R by Eric Feigelson Jan 29 and Jan 31, 2014 Phillips Auditorium in astronomical research [general interest lecture] 10:00am - 11:00am : Introduction to the R statistical software language [lecture & practicum] 11:00am - 2:30pm : break [EF available for informal statistical consulting
Unsupervised Segmentation for Statistical Machine Translation
Koehn, Philipp
Unsupervised Segmentation for Statistical Machine Translation Siriwan Sereewattana TH E U N I V E R for statistical machine translation. The approach requires no language- nor domain-specific knowledge whatsoever in principle the statistical framework of machine translation can be ap- plied to any language pair
EPSRC CASE Studentship Statistical Modelling of Fingerprints
Oakley, Jeremy
and mathematics together with experience or strong interest in statistical computing (including programming in R1 EPSRC CASE Studentship Statistical Modelling of Fingerprints SUMMARY This CASE studentship involves working with researchers in the Statistics & Interpretation Group of the Forensic Science Service
General Database Statistics Using Entropy Maximization
Suciu, Dan
(z) Estimate: q(y) :- R(x, y), S(y, z) Fig. 1. An example of a Statistical Program and a query, q whoseGeneral Database Statistics Using Entropy Maximization Raghav Kaushik1 , Christopher R´e2 , and Dan engines. The key object of our study is a statistical program, which is a set of pairs (v, d), where v
Nonstationary statistical theory for multipactor
Anza, S.; Vicente, C.; Gil, J. [Aurora Software and Testing S.L., Edificio de Desarrollo Empresarial 9B, Universidad Politecnica de Valencia, Camino de Vera s/n, 46022 Valencia (Spain); Boria, V. E. [Departamento de Comunicaciones-iTEAM, Universidad Politecnica de Valencia, Camino de Vera s/n, 46022 Valencia (Spain); Gimeno, B. [Departamento de Fisica Aplicada y Electromagnetismo-ICMUV, Universitat de Valencia, c/Dr. Moliner, 50, 46100 Valencia (Spain); Raboso, D. [Payloads Systems Division, European Space Agency, 2200-AG Noordwijk (Netherlands)
2010-06-15T23:59:59.000Z
This work presents a new and general approach to the real dynamics of the multipactor process: the nonstationary statistical multipactor theory. The nonstationary theory removes the stationarity assumption of the classical theory and, as a consequence, it is able to adequately model electron exponential growth as well as absorption processes, above and below the multipactor breakdown level. In addition, it considers both double-surface and single-surface interactions constituting a full framework for nonresonant polyphase multipactor analysis. This work formulates the new theory and validates it with numerical and experimental results with excellent agreement.
On statistics of molecular chaos
Yuriy Kuzovlev
2009-11-03T23:59:59.000Z
It is shown that the BBGKY equations for a particle interacting with ideal gas imply exact relations between probability distribution of path of the particle, its derivatives in respect to the gas density and irreducible many-particle correlations of gas atoms with the path. These relations visualize that the correlations of any order always significantly contribute to evolution of the path distribution, so that the exact statistical mechanics theory does not reduce to the classical kinetics even in the low-density (or Boltzmann-Grad) limit.
Entanglement distillation using particle statistics
H. L. Huang; L. H. Cheng; X. X. Yi
2005-10-25T23:59:59.000Z
We extend the idea of entanglement concentration for pure states(Phys. Rev. Lett. {\\bf 88}, 187903) to the case of mixed states. The scheme works only with particle statistics and local operations, without the need of any other interactions. We show that the maximally entangled state can be distilled out when the initial state is pure, otherwise the entanglement of the final state is less than one. The distillation efficiency is a product of the diagonal elements of the initial state, it takes the maximum 50%, the same as the case for pure states.
Transportation Statistics Annual Report 1997
Fenn, M.
1997-01-01T23:59:59.000Z
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 system—its 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 system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s 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 people’s 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?
INDIAN STATISTICAL INSTITUTE DELHI CENTRE
Bandyopadhyay, Antar
of the work: Supply and Installation, Testing & Commissioning of New Solar water Heater installation on old Commissioning of 2x500 lpd=1000 lpd New Solar water Heater system compressing of inner tank made of SUS 316L
Department of Statistics MASTER'S THESIS PRESENTATION
Stephens, Matthew
and per capita cigarette consumption allowing appropriate inferences to be made about other variables The University of Chicago Generalized Linear Models for Smoking Prevalence and Consumption FRIDAY, November 15 is to determine what factors influence smoking prevalence and cigarette consumption in the United States. The data
Not Available
1986-10-01T23:59:59.000Z
Statistical analyses were performed on 4 years of fluoride emissions data from a primary aluminum reduction plant. These analyses were used to develop formulae and procedures for use by regulatory agencies in determining alternate sampling frequencies for secondary (roof monitor) emissions testing on a case-by-case basis. Monitoring procedures for ensuring compliance even with a reduced test frequency are also addressed.
Statistical studies of supernova environments
Anderson, Joseph P; Habergham, Stacey M; Galbany, Lluís; Kuncarayakti, Hanindyo
2015-01-01T23:59:59.000Z
Investigations of the environments of SNe allow statistical constraints to be made on progenitor properties. We review progress that has been made in this field. Pixel statistics using tracers of e.g. star formation within galaxies show differences in the explosion sites of, in particular SNe types II and Ibc (SNe II and SNe Ibc), suggesting differences in population ages. Of particular interest is that SNe Ic are significantly more associated with H-alpha emission than SNe Ib, implying shorter lifetimes for the former. In addition, such studies have shown that the interacting SNe IIn do not explode in regions containing the most massive stars, which suggests that at least a significant fraction of their progenitors arise from the lower end of the core-collapse SN mass range. Host HII region spectroscopy has been obtained for a significant number of core-collapse events, however definitive conclusions have to-date been elusive. Single stellar evolution models predict that the fraction of SNe Ibc to SNe II sho...
Verification Testing Test Driven Development Testing with JUnit Verification
Peters, Dennis
Verification Testing Test Driven Development Testing with JUnit Verification Any activity should be verified. #12;Verification Testing Test Driven Development Testing with JUnit Approaches to verification 1 Testing 2 Static Analysis Â· Peer review Â· Insepction/Walk-through/Structured review Â· Formal
Ravikumar, B.
Statistics Page 233Sonoma State University 2012-2013 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Sam Brannen STATISTICS PROGRAM ADVISORS Susan Herring Elaine McDonald-Newman Scott Nickleach ADMINISTRATIVE
Fitelson, Branden
Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS BRANDEN FITELSON Department of Philosophy San Jos´e State University branden@fitelson.org http of Statistics 1 Overview of Presentation · What are the ends of statistical experiment, analysis
Ravikumar, B.
Statistics Page 239Sonoma State University 2014-2015 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATOR Marybeth
A Bootstrap Approach to Computing Uncertainty in Inferred Oil and Gas Reserve Estimates
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
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.
Effects of errors in the solar radius on helioseismic inferences
Sarbani Basu
1997-12-09T23:59:59.000Z
Frequencies of intermediate-degree f-modes of the Sun seem to indicate that the solar radius is smaller than what is normally used in constructing solar models. We investigate the possible consequences of an error in radius on results for solar structure obtained using helioseismic inversions. It is shown that solar sound speed will be overestimated if oscillation frequencies are inverted using reference models with a larger radius. Using solar models with radius of 695.78 Mm and new data sets, the base of the solar convection zone is estimated to be at radial distance of $0.7135\\pm 0.0005$ of the solar radius. The helium abundance in the convection zone as determined using models with OPAL equation of state is $0.248\\pm 0.001$, where the errors reflect the estimated systematic errors in the calculation, the statistical errors being much smaller. Assuming that the OPAL opacities used in the construction of the solar models are correct, the surface $Z/X$ is estimated to be $0.0245\\pm 0.0006$.
Using the Birth-Death Process to Infer Changes in the Pattern of Lineage Gain and Loss
Hallinan, Nathaniel Malachi
2011-01-01T23:59:59.000Z
for the R statistical programming language (R Developmentfrom the R statistical programming language, first tousing the R statistical programming language (R Development
Methods For Planning Accelerated Repeated Measures Degradation Tests
Methods For Planning Accelerated Repeated Measures Degradation Tests Brian P. Weaver Statistical repeated measures degradation tests can sometimes be used to assess product or component reliability when-variable accelerated repeated measures degradation test plan when the (possibly transformed) degradation is linear
Workforce Statistics - NA SH | National Nuclear Security Administratio...
National Nuclear Security Administration (NNSA)
Us Our Operations Management and Budget Office of Civil Rights Workforce Statistics Workforce Statistics - NA SH Workforce Statistics - NA SH NA SH FY14 Year End...
Verifying Test Hypotheses -HOL/TestGen Verifying Test Hypotheses -HOL/TestGen
Verifying Test Hypotheses - HOL/TestGen Verifying Test Hypotheses - HOL/TestGen An Experiment in Test and Proof Thomas Malcher January 20, 2014 1 / 20 #12;Verifying Test Hypotheses - HOL/TestGen HOL/TestGen Outline Introduction Test Hypotheses HOL/TestGen - Demo Verifying Test Hypotheses Conclusion 2 / 20 #12
Large-Scale Optimization for Bayesian Inference in Complex Systems
Willcox, Karen [MIT] [MIT; Marzouk, Youssef [MIT] [MIT
2013-11-12T23:59:59.000Z
The SAGUARO (Scalable Algorithms for Groundwater Uncertainty Analysis and Robust Optimization) Project focused on the development of scalable numerical algorithms for large-scale Bayesian inversion in complex systems that capitalize on advances in large-scale simulation-based optimization and inversion methods. The project was a collaborative effort among MIT, the University of Texas at Austin, Georgia Institute of Technology, and Sandia National Laboratories. The research was directed in three complementary areas: efficient approximations of the Hessian operator, reductions in complexity of forward simulations via stochastic spectral approximations and model reduction, and employing large-scale optimization concepts to accelerate sampling. The MIT--Sandia component of the SAGUARO Project addressed the intractability of conventional sampling methods for large-scale statistical inverse problems by devising reduced-order models that are faithful to the full-order model over a wide range of parameter values; sampling then employs the reduced model rather than the full model, resulting in very large computational savings. Results indicate little effect on the computed posterior distribution. On the other hand, in the Texas--Georgia Tech component of the project, we retain the full-order model, but exploit inverse problem structure (adjoint-based gradients and partial Hessian information of the parameter-to-observation map) to implicitly extract lower dimensional information on the posterior distribution; this greatly speeds up sampling methods, so that fewer sampling points are needed. We can think of these two approaches as ``reduce then sample'' and ``sample then reduce.'' In fact, these two approaches are complementary, and can be used in conjunction with each other. Moreover, they both exploit deterministic inverse problem structure, in the form of adjoint-based gradient and Hessian information of the underlying parameter-to-observation map, to achieve their speedups.
Shirazi, M.; Kroposki, B.
2012-01-01T23:59:59.000Z
With the publication of IEEE 1574.4 Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems, there is an increasing amount of attention on not only the design and operations of microgrids, but also on the proper operation and testing of these systems. This standard provides alternative approaches and good practices for the design, operation, and integration of microgrids. This includes the ability to separate from and reconnect to part of the utility grid while providing power to the islanded power system. This presentation addresses the industry need to develop standardized testing and evaluation procedures for microgrids in order to assure quality operation in the grid connected and islanded modes of operation.
HEV Fleet Testing - 2010 Ford Fusion vin#4757
Broader source: Energy.gov (indexed) [DOE]
757 Fleet Testing Results To Date Operating Statistics Distance Driven: 145,595 Average Trip Distance: 11.3 mi Stop Time with Engine Idling: 11% Trip Type CityHighway:...
Inscrutable OPEC? : behavioral tests of the cartel hypothesis
Smith, James L.
2003-01-01T23:59:59.000Z
We show that standard statistical tests of OPEC behavior have very low power across a wide range of alternative hypotheses regarding market structure. Consequently, it is difficult, given the current availability and ...
INDIAN STATISTICAL INSTITUTE DELHI CENTRE
Bandyopadhyay, Antar
) Name of the work: Design, Supply,Installation, Testing and Commissioning of New Solar water Heater solar water heater panel manufacturers / Contractors with proven technical and financial capabilities terrace where the solar water heater has to be installed before quote the rates. The Institute reserves
Binter, R; Khare, S; Binter, Roman; Jewson, Stephen; Khare, Shree
2007-01-01T23:59:59.000Z
We are building a hurricane number prediction scheme that relies, in part, on statistical modelling of the empirical relationship between Atlantic sea surface temperatures and Atlantic basin hurricane numbers. We test out a number of simple statistical models for this relationship, using data from 1900 to 2005 and data from 1950 to 2005, and for both all hurricane numbers and intense hurricane numbers.
Connecting models to the real world : game theory in action
Alexandrova, Anna
2006-01-01T23:59:59.000Z
and Inference in Econometric Models: Festschrift in Honor ofthat involve econometric testing and experimentation. Casualand methods of statistical and econometric analysis, and the
Dahl, David B.
2 1 1 1 1 1 2 1 1 12 12 1 34 Variable Hours 4.0 2.0 2.0 36.0 3.0 3.0 3.0 4.0 4.0 6.0 3.0 3.0 35.0 37.0 3.0 6.0 Variable 30.0 120.0 Classes Rel A 121/H & 122/H Rel A 211/H or 212/H Rel C 324/H Statistical Computing 2 4.0 4.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 3.0 3.0 1.0 3.0 3.0 3.0 3.0 Complete 18 credit
Mining, Using and Maintaining Source Statistics for Adaptive Data Integration
Kambhampati, Subbarao
-Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter
Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2
Boyer, Edmond
Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2 , Romain Rouvoy1. In this paper, we therefore introduce JalenUnit, a software framework that infers the energy consumption model, and comparing software libraries against their energy consumption. Categories and Subject Descriptors D.2
Quantum Statistical Mechanics. III. Equilibrium Probability
Phil Attard
2014-04-10T23:59:59.000Z
Given are a first principles derivation and formulation of the probabilistic concepts that underly equilibrium quantum statistical mechanics. The transition to non-equilibrium probability is traversed briefly.
Essays on microeconomics and statistical decision making
Nieto Barthaburu, Augusto
2006-01-01T23:59:59.000Z
An Introduction to Econometric Theory. Princeton Universityand S. Low (1989): An Econometric Analysis of the Bankextensive statistical and econometric literature concerned
Statistical methods for nuclear material management
Bowen W.M.; Bennett, C.A. (eds.) [eds.
1988-12-01T23:59:59.000Z
This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.
Statistical Mechanics and Quantum Cosmology
B. L. Hu
1995-11-29T23:59:59.000Z
Statistical mechanical concepts and processes such as decoherence, correlation, and dissipation can prove to be of basic importance to understanding some fundamental issues of quantum cosmology and theoretical physics such as the choice of initial states, quantum to classical transition and the emergence of time. Here we summarize our effort in 1) constructing a unified theoretical framework using techniques in interacting quantum field theory such as influence functional and coarse-grained effective action to discuss the interplay of noise, fluctuation, dissipation and decoherence; and 2) illustrating how these concepts when applied to quantum cosmology can alter the conventional views on some basic issues. Two questions we address are 1) the validity of minisuperspace truncation, which is usually assumed without proof in most discussions, and 2) the relevance of specific initial conditions, which is the prevailing view of the past decade. We also mention how some current ideas in chaotic dynamics, dissipative collective dynamics and complexity can alter our view of the quantum nature of the universe.
Hitchcock, Adam P.
Mathematics & Statistics Coop Program Students from the Mathematics & Statistics Coop Program have design and data analysis, medical imaging, mathematical finance and statistical modeling. They have of Mathematics & Statistics Coop Work Terms Duties: Performed data mapping and analysis activities Derived
Washington at Seattle, University of
American Statistical Association Announces 2011 Award Recipients Awards ceremony to be held at Joint Statistical Meetings in Miami Beach, FL MIAMI BEACH, FL (PRWEB) AUGUST 1, 2011 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today announced
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics
Olsen Jr., Dan R.
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering of Statistics Stat 151 Intro to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have passed the AP statistics exam or an introductory
November 2011 MSc and Diploma in Applied Statistics 2011
Goldschmidt, Christina
;2 Statistical Methods 28 17 3.0 3 Statistical Theory 27 12 5.0 4 Statistical Theory 27 8 5.5 5 R Programming 28November 2011 MSc and Diploma in Applied Statistics 2011: Examiners' Report Part I A STATISTICS (1) Numbers and percentages in each category MSc in Applied Statistics Category Number Percentage 2010
David Keitel; Reinhard Prix
2015-01-16T23:59:59.000Z
The multi-detector F-statistic is close to optimal for detecting continuous gravitational waves (CWs) in Gaussian noise. However, it is susceptible to false alarms from instrumental artefacts, for example quasi-monochromatic disturbances ('lines'), which resemble a CW signal more than Gaussian noise. In a recent paper [Keitel et al 2014, PRD 89 064023], a Bayesian model selection approach was used to derive line-robust detection statistics for CW signals, generalising both the F-statistic and the F-statistic consistency veto technique and yielding improved performance in line-affected data. Here we investigate a generalisation of the assumptions made in that paper: if a CW analysis uses data from two or more detectors with very different sensitivities, the line-robust statistics could be less effective. We investigate the boundaries within which they are still safe to use, in comparison with the F-statistic. Tests using synthetic draws show that the optimally-tuned version of the original line-robust statistic remains safe in most cases of practical interest. We also explore a simple idea on further improving the detection power and safety of these statistics, which we however find to be of limited practical use.
de Campos, Luis M.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 6, NO. 2, APRIL 2002 105 Partial Abductive-Specific Genetic Operators Luis M. de Campos, JosÃ© A. GÃ¡mez, and SerafÃn Moral Abstract--Abductive inference, this problem is called partial abductive inference. Both problems are NP-hard and so exact computation
Ng, Andrew Y.
Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng to the one used by (Harabagiu et al., 2000). An abductive theorem prover then tries to find the minimum. In this paper, we present an abductive inference algorithm to perform semantic reasoning. More precisely