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
Conditional statistical inference and quantification of relevance
Sundberg, Rolf
a quantification of the concept of relevance for conditional in- ference. Conditioning on an ancillary statistic makes inference more relevant in this sense, provided that the ancillary is a precision index. Not all ancillary statistics satisfy this demand. We discuss the problem of choice between alternative ancillary
Nuclear Forensic Inferences Using Iterative Multidimensional Statistics
Robel, M; Kristo, M J; Heller, M A
2009-06-09
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.
Statistical Inference for Models with Intractable Normalizing Constants
Jin, Ick Hoon
2011-06-27
In this dissertation, we have proposed two new algorithms for statistical inference for models with intractable normalizing constants: the Monte Carlo Metropolis-Hastings algorithm and the Bayesian Stochastic Approximation Monte Carlo algorithm...
MATH 472 STATISTICAL INFERENCE UNIVERSITY OF HAWAII AT MANOA
Faber, Xander
MATH 472 Â STATISTICAL INFERENCE UNIVERSITY OF HAWAII AT MANOA SPRING 2013 Professor Info: Dr. Xander Faber 404 Physical Sciences Building xander@math.hawaii.edu www.math.hawaii.edu/xander/ Office
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
location parameter family the sample variance is ancillary. 9. Using Basu's theorem establish that sample parameter . Show that (Y1, Y2, . . . , Yn-1) where Yi = X(n) - X(i), i = 1, 2, . . . , n - 1 is ancillary or not the ancillary statistics (Y1, Y2, . . . , Yn-1) is independent of the minimal sufficient statistics of . 12
Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,*
Mehta, Pankaj
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
A Twostep Statistical Approach for Inferring Network Traffic Demands #
A Twostep Statistical Approach for Inferring Network Traffic Demands # A. Medina 1 , K. Salamatian knowledge of traffic demands in a communication net work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data
Statistical Inference, Learning and Models for Big Data
Reid, Nancy
Statistical Inference, Learning and Models for Big Data Nancy Reid University of Toronto P · Optimization and Matrix Methods Feb 9 11 · Visualization: Strategies and Principles Feb 23 27 · Big Data in Health Policy Mar 23 27 · Big Data for Social Policy Apr 13 16 #12;And more Distinguished Lecture
Statistical Inference, Learning and Models for Big Data
Knight, Keith
Statistical Inference, Learning and Models for Big Data Steering Committee Yoshua Bengio Hugh: Strategies and Principles Feb 23 - 27 · Big Data in Health Policy Mar 23 - 27 · Big Data for Social Policy Jordan, UC Berkeley, April 7, 8 and 9 · Andrew Lo, MIT March 25 law, finance and big data · Graduate
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
Bayesian inference on the sphere beyond statistical isotropy
Das, Santanu; Souradeep, Tarun
2015-01-01
We present a general method for Bayesian inference of the underlying covariance structure of random fields on a sphere. We employ the Bipolar Spherical Harmonic (BipoSH) representation of general covariance structure on the sphere. We illustrate the efficacy of the method as a principled approach to assess violation of statistical isotropy (SI) in the sky maps of Cosmic Microwave Background (CMB) fluctuations. SI violation in observed CMB maps arise due to known physical effects such as Doppler boost and weak lensing; yet unknown theoretical possibilities like cosmic topology and subtle violations of the cosmological principle, as well as, expected observational artefacts of scanning the sky with a non-circular beam, masking, foreground residuals, anisotropic noise, etc. We explicitly demonstrate the recovery of the input SI violation signals with their full statistics in simulated CMB maps. Our formalism easily adapts to exploring parametric physical models with non-SI covariance, as we illustrate for the in...
Statistical learning for decision making : interpretability, uncertainty, and inference
Letham, Benjamin
2015-01-01
Data and predictive modeling are an increasingly important part of decision making. Here we present advances in several areas of statistical learning that are important for gaining insight from large amounts of data, and ...
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. Keywords: Software reliability; Modular Operational Tests; Sample Size Determination; Mathematical Programming #12;Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model
Multivariate Statistical Tests for Comparing Classification Algorithms
AlpaydĂ˝n, Ethem
Multivariate Statistical Tests for Comparing Classification Algorithms Olcay Taner Yildiz1 , Â¨Ozlem these in a single number, we propose to collect multivariate statistics and use multivariate tests on them rate (tpr) and false positive rate (fpr) and a multivariate test can also use such two values instead
Statistical Inference on Graphs Gerard BIAU # and Kevin BLEAKLEY
Biau, GĂ©rard
to reconstruct networks have been proposed and tested so far, ranging from Bayesian or Petri networks applications including communication networks and systems biology, we propose a general model for studying deals with problems that have a graph (or network) structure. In this context an (undirected) graph
On the Convergence of Statistical Techniques for Inferring Network Traffic Demands
On the Convergence of Statistical Techniques for Inferring Network Traffic Demands Alberto Medina 1 knowledge of traffic demands in a communication net work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data
Statistical inference of spectral estimation for continuous-time MA processes with
Statistical inference of spectral estimation for continuous-time MA processes with finite second moments Vicky Fasen In this paper we investigate a continuous-time MA (moving average) process (Xt)t0 of applications, e.g., finance, insurance, physics, signal processing and control. Continuous-time models
Journal of Statistical Planning and Inference 137 (2007) 11511160 www.elsevier.com/locate/jspi
Gelman, Andrew
2007-01-01
Author's personal copy Journal of Statistical Planning and Inference 137 (2007) 11511160 www utility (see Luce and Raiffa, 1957, for a mathematical treatment and comparison to other axiomatic are assigned utilities. (A leaf can itself represent a subtree, in which case the utility assigned to the leaf
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
IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics
Alexandrova, Ivana
values from bid data in a first-price sealed bids auction. Other empirical examples involv- ing variable we care about. Practically, with a finite amount of data, we can learn a lot from estimating the data, rather than simply compute numbers, we need statistical inference on these conditional quantiles
Guillas, Serge
STAT. SCI. REPORT 290/STATISTICS SECTION REPORT TR-08-01 1 Multiscale Inference for High-Frequency dynamics, [5][7]. In such applications one is confronted with data that contain a high frequency component. Hence, the development of appropriate inference methods for high frequency data sets is a very important
SHORT REVIEW Statistical tests of selective neutrality
Nielsen, Rasmus
SHORT REVIEW Statistical tests of selective neutrality in the age of genomics RASMUS NIELSEN genomic data for traces of selection provides a powerful tool for identifying genomic regions genomic data sets has invigorated the Â®eld of molecular population genetics and spurred new controversies
STATISTICAL DAMAGE CLASSIFICATION USING SEQUENTIAL PROBABILITY RATIO TESTS.
SOHN, HOON; ALLEN, DAVID W; WORDEN, KEITH; FARRAR, CHARLES R
2002-02-16
The primary objective of damage detection is to ascertain with confidence if damage is present or not within a structure of interest. In this study, a damage classification problem is cast in the context of the statistical pattern recognition paradigm. First, a time prediction model, called an autoregressive and autoregressive with exogenous inputs (AR-ARX) model, is fit to a vibration signal measured during a normal operating condition of the structure. When a new time signal is recorded from an unknown state of the system, the prediction errors are computed for the new data set using the time prediction model. When the structure undergoes structural degradation, it is expected that the prediction errors will increase for the damage case. Based on this premise, a damage classifier is constructed using a sequential hypothesis testing technique called the sequential probability ratio test (SPRT). The SPRT is one form of parametric statistical inference tests, and the adoption of the SPRT to damage detection problems can improve the early identification of conditions that could lead to performance degradation and safety concerns. The sequential test assumes a probability distribution of the sample data sets, and a Gaussian distribution of the sample data sets is often used. This assumption, however, might impose potentially misleading behavior on the extreme values of the data, i.e. those points in the tails of the distribution. As the problem of damage detection specifically focuses attention on the tails, the assumption of normality is likely to lead the analysis astray. To overcome this difficulty, the performance of the SPRT is improved by integrating extreme values statistics, which specifically models behavior in the tails of the distribution of interest into the SPRT.
On some statistical aspects of software testing and reliability
Coolen, Frank
On some statistical aspects of software testing and reliability Frank P.A. Coolen Abstract This article discusses the author's views on possible contributions statistics can make to software testing, the mes- sage is that statistical methods cannot provide proper support for software testing or provide
Stress Testing Traffic to Infer Its Legitimacy Nick Duffield and Balachander Krishnamurthy
Greenberg, Albert
Stress Testing Traffic to Infer Its Legitimacy Nick Duffield and Balachander Krishnamurthy AT. The methodology can potentially be applied across a range of protocol levels. The key idea is to stress test- pairments induced by stress testing must not cause per- formance degradation to exceed acceptable limits, e
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
2013-12-10
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...
Bachelor's Project Statistical Models for Software Testing with Imperfect Debugging
Di Bucchianico, Alessandro
Bachelor's Project Statistical Models for Software Testing with Imperfect Debugging A. Di models for software testing. During software testing, it is important to know when to stop testing (simplistic ways to solve Maximum Likelihood equations) are being used. In order to provide software test
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM HUIBIN ZHOU Department of Statistics Yale University to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach
Bayesian Inference Bayesian Inference
Penny, Will
Bayesian Inference Will Penny Bayesian Inference Bayes rule Medical Decision Making Directed Gaussians Sensory Integration Decision Making Dynamics References Bayesian Inference Will Penny 24th February 2011 #12;Bayesian Inference Will Penny Bayesian Inference Bayes rule Medical Decision Making
von Nessi, G T
2014-01-01
We present recent results and technical breakthroughs for the Bayesian inference of tokamak equilibria using force-balance as a prior constraint. Issues surrounding model parameter representation and posterior analysis are discussed and addressed. These points motivate the recent advancements embodied in the Bayesian Equilibrium Analysis and Simulation Tool (BEAST) software being presently utilised to study equilibria on the Mega-Ampere Spherical Tokamak (MAST) experiment in the UK (von Nessi \\emph{et. al.} 2012 \\emph{J. Phys. A} \\textbf{46} 185501). State-of-the-art results of using BEAST to study MAST equilbria are reviewed, with recent code advancements being systematically presented though out the manuscript.
Asymptotically pivotal statistic for surrogate testing with extended hypothesis
Xiaodong Luo; Jie Zhang; Junfeng Sun; Michael Small; Irene Moroz
2007-01-02
The method of surrogate data provides a framework for testing observed data against a hierarchy of alternative hypotheses. The aim of applying this method is to exclude the possibility that the data are consistent with simple linear explanations before seeking complex nonlinear causes. However, in recent time the method has attracted considerable criticism, largely as a result of ambiguity about the formation of the underlying null hypotheses, or about the power of the chosen statistic. In this communication we show that by employing a special family of ranks statistics these problems can be avoided and the method of surrogate data placed of a firm statistical foundation.
Statistical Tests for Evaluating Earthquake Prediction Kurt S. Riedel
Statistical Tests for Evaluating Earthquake Prediction Methods Kurt S. Riedel Courant Institute unlucky; 2) VAN predictions are anticorrrelated with earthquakes; 3) the MG hypothesis that earthquakes culprit, i.e., many of MG's earthquakes are probably aftershocks which VAN did not try to predict. Note
Statistical Tests for Evaluating Earthquake Prediction Methods Kurt S. Riedel
Statistical Tests for Evaluating Earthquake Prediction Methods Kurt S. Riedel Courant Institute are extremely unlucky; 2) VAN predictions are anticorrrelated with earthquakes; 3) the MG hypothesis the likely culprit, i.e., many of MG's earthquakes are probably aftershocks which VAN did not try to predict
Statistical Inference for Medical Costs and Incremental Cost-effectiveness Ratios with Censored Data
Chen, Shuai
2015-04-30
, and therefore will have less costs at the censoring time, and at the potential event time (Lin, 2003). Thus, many standard approaches for survival analysis, such as the Kaplan-Meier estimator (Kaplan and Meier, 1958), or the Cox regression model (Cox, 1972...). The authors point out that traditional methods for handling censored sur- vival data, such as the Kaplan-Meier estimator, Log-rank test, and Cox proportional hazards regression are no longer valid for analyzing censored cost data, due to the “induced...
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
2008-07-31
(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.
Fracture testing of Edwards limestone: a statistical treatment
Redding, David Earl
1993-01-01
. This study addresses the behavior of Edwards limestone when subjected to rubber fracture testing. The understanding of a material's behavior under tensile stress loading is limited to a few but highly significant applications. Petroleum reservoir problems.... Next, the effectiveness of assigning statistical distributions to represent an empirical distribution function is The citations on the following pages follow the style of the international Journal of Rock Mechanics and Mining Sciences & Geomechanics...
Shoubridge, Eric
#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
Quantum Statistical Testing of a Quantum Random Number Generator
Humble, Travis S
2014-01-01
The unobservable elements in a quantum technology, e.g., the quantum state, complicate system verification against promised behavior. Using model-based system engineering, we present methods for verifying the opera- tion of a prototypical quantum random number generator. We begin with the algorithmic design of the QRNG followed by the synthesis of its physical design requirements. We next discuss how quantum statistical testing can be used to verify device behavior as well as detect device bias. We conclude by highlighting how system design and verification methods must influence effort to certify future quantum technologies.
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)
2011-12-06
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.
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
, for example, working memory operations involving the temporary maintenance and manipula- tion of informationA new statistical method for testing hypotheses of neuropsychological/MRI relationships applied partial least squares (PLS) as a novel multivariate statistical technique to examine
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Monte Carlo Likelihood Inference, the statistics of primary importance for estimation and testing are functions of unobservable latent vari- ables
Çaginalp, Gunduz
effects in markets from empirical data. A set of 24 asset market experiments are utilized to de- rive an equation of price and its dependence on momentum, fundamental value, ex- cess bid level and liquidity considerations. A difference equation is derived from a statistical analysis of the data. The methods are quite
Cube Test Analysis of the Statistical Behavior of CubeHash and Skein
International Association for Cryptologic Research (IACR)
Cube Test Analysis of the Statistical Behavior of CubeHash and Skein Alan Kaminsky # May 6, 2010 CubeHash and Skein to try to find nonrandom behavior. Cube tests were used to probe each algorithm test data were calculated on a 40core hybrid SMP cluster parallel computer. The cube test data were
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GONGJUN XU Department of Statistics Columbia University Statistical Inference for Diagnostic Classification Models MONDAY, February 18, 2013 at 4:00 PM-driven construction (estimation) of the Q-matrix and related statistical issues of DCMs. I will first give
How we know that photons are bosons: experimental tests of spin-statistics for photons
Pines, Alexander
How we know that photons are bosons: experimental tests of spin-statistics for photons D. DeMille,1 that shed light on possible small violations of the spin-statistics relation for photons. Particular emphasis is given to our recent experimental search for non-symmetric photon states, using atomic two-photon
Statistical Monitoring of Time-to-Failure Data Using Rank Tests
Zhou, Shiyu
statistics, we derived the generic formulae for the operating characteristic functions of the control chartStatistical Monitoring of Time-to-Failure Data Using Rank Tests Zhiguo Li,a * Shiyu Zhou,b Crispian of the fast development of information technology, the critical failure events and maintenance events
The Speedup-Test: A Statistical Methodology for Program Speedup Analysis and Computation
Paris-Sud XI, Université de
The Speedup-Test: A Statistical Methodology for Program Speedup Analysis and Computation Sidi presents a rigorous statistical methodology regarding program performance analysis. We rely on well known is implemented and distributed as an open source tool based on R software. keywords: Program performance
Understanding the performance of broadband networks through the statistical analysis of speed tests
García García, Rubén, S.M. Massachusetts Institute of Technology
2011-01-01
In this thesis we performed the statistical analysis of a dataset containing raw data captured through user-initiated Internet speed tests. The NDT dataset represents the largest publicly available source of raw measurements ...
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ROBERT NOWAK Department of Electrical and Computer-dimensional statistical models to capture the complexity of such problems. Most of the work in this direction has focused of statistical inference. These procedures automatically adapt the measurements in order to focus and optimize
Steffen, Jason H.; Ford, Eric B.; Rowe, Jason F.; Fabrycky, Daniel C.; Holman, Matthew J.; Welsh, William F.; Borucki, William J.; Batalha, Natalie M.; Bryson, Steve; Caldwell, Douglas A.; Ciardi, David R.; /Caltech /NASA, Ames /SETI Inst., Mtn. View
2012-01-01
We analyze the deviations of transit times from a linear ephemeris for the Kepler Objects of Interest (KOI) through Quarter six (Q6) 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
2012-07-16
of the source, but also about its location. We derive Bayes factors for model selection and estimation of location based on Markov chain Monte Carlo simulation. A simulation study shows that with sufficiently high total emission level, our method can effectively...
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
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)
1996-12-31
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.
Drakakis, Konstantinos
A statistical test to detect tampering with lottery results Konstantinos Drakakis, Ken Taylor tampering with lottery results, and apply it to the past results of eight national lotteries: EU (Euro of tampering, but they also show France to be on the borderline. 1. Introduction Lottery is a well known
Towards an improved test of Bose-Einstein statistics for photons
Pines, Alexander
Towards an improved test of Bose-Einstein statistics for photons Damon Brown , Dmitry Budker for photons obtained earlier (D. P. DeMille, D. Budker, N. Derr, and E. Deveney, Phys. Rev. Lett. 83(20), 1378 technique. We also discuss the ultimate limits that one can hope to obtain with this degenerate two-photon
Generalized Multivariate Rank Type Test Statistics via Spatial U-Quantiles
Serfling, Robert
Generalized Multivariate Rank Type Test Statistics via Spatial U-Quantiles Weihua Zhou1 University for location have been extended over the years to the multivariate setting, including recent robust rotation invariant "spatial" versions. Here we introduce a broad class of rotation invariant multivariate spatial
Froelich, Amy G.
Using the JMP Scripting Language to Teach Sampling and Inference for the Proportion* Amy G Proportions Center Mean of Sample Proportions Spread Std. Dev. of Sample Proportions Shape Normal Quantile Plot of Sample Proportions Effect of Assumptions on Distribution of Sample Proportions
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
2010-09-30
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.
Sprott, Julien Clinton
Supplemental Tables Supplemental Table 1. Test statistics for all response variables measured chlorophyll a for Run 2, 2010. Test statistics are given in Supplemental Table 1. #12;SF 3. Mean (±SE) water = Clam treatment, run 1). Test statistics are given in Supplemental Table 1. #12;SF 5. Mean (±SE
Statistical test of Duane-Hunt's law and its comparison with an alternative law
Milan Perkovac
2010-10-28
Using Pearson correlation coefficient a statistical analysis of Duane-Hunt and Kulenkampff's measurement results was performed. This analysis reveals that empirically based Duane-Hunt's law is not entirely consistent with the measurement data. The author has theoretically found the action of electromagnetic oscillators, which corresponds to Planck's constant, and also has found an alternative law based on the classical theory. Using the same statistical method, this alternative law is likewise tested, and it is proved that the alternative law is completely in accordance with the measurements. The alternative law gives a relativistic expression for the energy of electromagnetic wave emitted or absorbed by atoms and proves that the empirically derived Planck-Einstein's expression is only valid for relatively low frequencies. Wave equation, which is similar to the Schr\\"odinger equation, and wavelength of the standing electromagnetic wave are also established by the author's analysis. For a relatively low energy this wavelength becomes equal to the de Broglie wavelength. Without any quantum conditions, the author made a formula similar to the Rydberg's formula, which can be applied to the all known atoms, neutrons and some hyperons.
DWPF Sample Vial Insert Study-Statistical Analysis of DWPF Mock-Up Test Data
Harris, S.P. [Westinghouse Savannah River Company, AIKEN, SC (United States)
1997-09-18
This report is prepared as part of Technical/QA Task Plan WSRC-RP-97-351 which was issued in response to Technical Task Request HLW/DWPF/TTR-970132 submitted by DWPF. Presented in this report is a statistical analysis of DWPF Mock-up test data for evaluation of two new analytical methods which use insert samples from the existing HydragardTM sampler. The first is a new hydrofluoric acid based method called the Cold Chemical Method (Cold Chem) and the second is a modified fusion method.Either new DWPF analytical method could result in a two to three fold improvement in sample analysis time.Both new methods use the existing HydragardTM sampler to collect a smaller insert sample from the process sampling system. The insert testing methodology applies to the DWPF Slurry Mix Evaporator (SME) and the Melter Feed Tank (MFT) samples.The insert sample is named after the initial trials which placed the container inside the sample (peanut) vials. Samples in small 3 ml containers (Inserts) are analyzed by either the cold chemical method or a modified fusion method. The current analytical method uses a HydragardTM sample station to obtain nearly full 15 ml peanut vials. The samples are prepared by a multi-step process for Inductively Coupled Plasma (ICP) analysis by drying, vitrification, grinding and finally dissolution by either mixed acid or fusion. In contrast, the insert sample is placed directly in the dissolution vessel, thus eliminating the drying, vitrification and grinding operations for the Cold chem method. Although the modified fusion still requires drying and calcine conversion, the process is rapid due to the decreased sample size and that no vitrification step is required.A slurry feed simulant material was acquired from the TNX pilot facility from the test run designated as PX-7.The Mock-up test data were gathered on the basis of a statistical design presented in SRT-SCS-97004 (Rev. 0). Simulant PX-7 samples were taken in the DWPF Analytical Cell Mock-up Facility using 3 ml inserts and 15 ml peanut vials. A number of the insert samples were analyzed by Cold Chem and compared with full peanut vial samples analyzed by the current methods. The remaining inserts were analyzed by the modified fusion method, for comparison to the current method, and also to obtain a calcine correction factor. The simulant was within 40 - 42 wt% solids in order to provide a rheology within the DWPF design range. The rheology at 42 wt% was approximately 47 dynes/cm2 yield stress at 251/4C.
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Michael Woodroofe Department of Statistics, University of Michigan "Inference with a Restricted Parameter Space
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Anirban Dasgupta Department of Statistics Purdue University "Inference Based on Total Variation Distance" Monday, November 10, 2003 at 4
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUGUO CHEN Department of Statistics University of Illinois at Urbana-Champaign "Sampling for Conditional Inference on Multiway Tables
Létourneau, Daniel McNiven, Andrea; Keller, Harald; Wang, An; Amin, Md Nurul; Pearce, Jim; Norrlinger, Bernhard; Jaffray, David A.
2014-12-15
Purpose: High-quality radiation therapy using highly conformal dose distributions and image-guided techniques requires optimum machine delivery performance. In this work, a monitoring system for multileaf collimator (MLC) performance, integrating semiautomated MLC quality control (QC) tests and statistical process control tools, was developed. The MLC performance monitoring system was used for almost a year on two commercially available MLC models. Control charts were used to establish MLC performance and assess test frequency required to achieve a given level of performance. MLC-related interlocks and servicing events were recorded during the monitoring period and were investigated as indicators of MLC performance variations. Methods: The QC test developed as part of the MLC performance monitoring system uses 2D megavoltage images (acquired using an electronic portal imaging device) of 23 fields to determine the location of the leaves with respect to the radiation isocenter. The precision of the MLC performance monitoring QC test and the MLC itself was assessed by detecting the MLC leaf positions on 127 megavoltage images of a static field. After initial calibration, the MLC performance monitoring QC test was performed 3–4 times/week over a period of 10–11 months to monitor positional accuracy of individual leaves for two different MLC models. Analysis of test results was performed using individuals control charts per leaf with control limits computed based on the measurements as well as two sets of specifications of ±0.5 and ±1 mm. Out-of-specification and out-of-control leaves were automatically flagged by the monitoring system and reviewed monthly by physicists. MLC-related interlocks reported by the linear accelerator and servicing events were recorded to help identify potential causes of nonrandom MLC leaf positioning variations. Results: The precision of the MLC performance monitoring QC test and the MLC itself was within ±0.22 mm for most MLC leaves and the majority of the apparent leaf motion was attributed to beam spot displacements between irradiations. The MLC QC test was performed 193 and 162 times over the monitoring period for the studied units and recalibration had to be repeated up to three times on one of these units. For both units, rate of MLC interlocks was moderately associated with MLC servicing events. The strongest association with the MLC performance was observed between the MLC servicing events and the total number of out-of-control leaves. The average elapsed time for which the number of out-of-specification or out-of-control leaves was within a given performance threshold was computed and used to assess adequacy of MLC test frequency. Conclusions: A MLC performance monitoring system has been developed and implemented to acquire high-quality QC data at high frequency. This is enabled by the relatively short acquisition time for the images and automatic image analysis. The monitoring system was also used to record and track the rate of MLC-related interlocks and servicing events. MLC performances for two commercially available MLC models have been assessed and the results support monthly test frequency for widely accepted ±1 mm specifications. Higher QC test frequency is however required to maintain tighter specification and in-control behavior.
Penarrubia, Jorge; Walker, Matthew G.
2012-11-20
We introduce the Minimum Entropy Method, a simple statistical technique for constraining the Milky Way gravitational potential and simultaneously testing different gravity theories directly from 6D phase-space surveys and without adopting dynamical models. We demonstrate that orbital energy distributions that are separable (i.e., independent of position) have an associated entropy that increases under wrong assumptions about the gravitational potential and/or gravity theory. Of known objects, 'cold' tidal streams from low-mass progenitors follow orbital distributions that most nearly satisfy the condition of separability. Although the orbits of tidally stripped stars are perturbed by the progenitor's self-gravity, systematic variations of the energy distribution can be quantified in terms of the cross-entropy of individual tails, giving further sensitivity to theoretical biases in the host potential. The feasibility of using the Minimum Entropy Method to test a wide range of gravity theories is illustrated by evolving restricted N-body models in a Newtonian potential and examining the changes in entropy introduced by Dirac, MONDian, and f(R) gravity modifications.
Chapeau-Blondeau, François
IEEE SIGNAL PROCESSING LETTERS, VOL. 7, NO. 7, JULY 2000 205 Nonlinear Test Statistic to Improve in signal processing because they usually allow a thorough theoretical treatment and can often be proved Signal Detection in Non-Gaussian Noise François Chapeau-Blondeau, Member, IEEE Abstract--We compare two
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
Statistics 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 36-756: Advanced Statistics I, such as exchangeability, the axiomatic foundation of subjective probability
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
Introduction to Bayesian Inference
Penny, Will
Introduction to Bayesian Inference Will Penny Bayes rule Medical Decision Making Sensitivity Joint References Introduction to Bayesian Inference Will Penny Short Course on Bayesian Inference, Virginia Tech, 24th January 2012 #12;Introduction to Bayesian Inference Will Penny Bayes rule Medical Decision
Broader source: Energy.gov [DOE]
Effects of "new" engine testing procedures (40 CFR Part 1065) with respect to repeatability of transient engine dynamometer tests were examined as well as the effects of calibration and measurement methods
Statistical methods to infer biological interactions
Tucker, George Jay
2014-01-01
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 ...
Majda, Andrew J.
as climate change problems concerning the transport of greenhouse gases such as carbon dioxide with strongly observations B. Gershgorin , A.J. Majda Department of Mathematics and Center for Atmosphere and Ocean Science Nonlinear Kalman filter Data assimilation a b s t r a c t A statistically exactly solvable model for passive
Statistics and Differential Geometry 18-466 Mathematical Statistics
Le Ny, Jerome
Statistics and Differential Geometry 18-466 Mathematical Statistics Jerome Le Ny December 14, 2005 of statistical curvature [Efr75], that most of the main concepts and methods of differ- ential geometry are of substantial interest in connection with the theory of statistical inference. This report describes in simple
Burr, Tom; Hamada, Michael S.; Ticknor, Larry; Sprinkle, James
2015-01-01
The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement - prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Burr, Tom; Hamada, Michael S.; Ticknor, Larry; Sprinkle, James
2015-01-01
The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement - prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests canmore »be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur.« less
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
Yalcin, C; Rauscher, T; Kiss, G G; Özkan, N; Güray, R T; Halász, Z; Szücs, T; Fülöp, Zs; Korkulu, Z; Somorjai, E
2015-01-01
Astrophysical reaction rates, which are mostly derived from theoretical cross sections, are necessary input to nuclear reaction network simulations for studying the origin of $p$ nuclei. Past experiments have found a considerable difference between theoretical and experimental cross sections in some cases, especially for ($\\alpha$,$\\gamma$) reactions at low energy. Therefore, it is important to experimentally test theoretical cross section predictions at low, astrophysically relevant energies. The aim is to measure reaction cross sections of $^{107}$Ag($\\alpha$,$\\gamma$)$^{111}$In and $^{107}$Ag($\\alpha$,n)$^{110}$In at low energies in order to extend the experimental database for astrophysical reactions involving $\\alpha$ particles towards lower mass numbers. Reaction rate predictions are very sensitive to the optical model parameters and this introduces a large uncertainty into theoretical rates involving $\\alpha$ particles at low energy. We have also used Hauser-Feshbach statistical model calculations to s...
Ketland, Jeffrey
2005-01-01
The following inference is valid: There are exactly 101 dalmatians, There are exactly 100 food bowls, Each dalmatian uses exactly one food bowl Hence, at least two dalmatians use the same food bowl. Here, ...
van Walsum, Kimberly Lynn
2005-11-01
and related PAFS-QVC variables onto positive affect, negative affect, clinical inferences (patient as partner) and clinical inferences (likelihood of treatment success) revealed statistically significant effects of intergenerational family relationship...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium XIAOFENG SHAO Department of Statistics University of Illinois, Urbana-Champaign Self-Normalization for Time Series MONDAY, May 21, 2012 of a statistic. Or the inference can be conducted by using resampling (e.g. moving block boot- strap
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium NATESH PILLAI Department of Statistics Harvard University Optimal Scaling vs. Optimal Design of MCMC Algorithms: A Comparison MONDAY their behavior in high dimensions thus constitute an essential part of modern statistical inference
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Samuel Kou Department of Statistics statistical modeling and inference effort. This paper provides the first likelihood-based analysis statistical techniques to the analysis of data produced by modern technologies. This work is joint with Sunney
Statistical Theory Prof. Gesine Reinert
Reinert, Gesine
- chical Bayes, empirical Bayes, James-Stein estimators, Bayesian computation. · Part 4: Principles) Statistical Inference. Second Edi- tion. Thomson Learning. 3. Cox, D.R. and Hinkley, D.V. (1974) Theoretical. Cambridge University Press. 2 #12;6. Lindgren, B.W. (1993) Statistical Theory. 4th edition. Chapman and Hall
C. Yalcin; Gy. Gyürky; T. Rauscher; G. G. Kiss; N. Özkan; R. T. Güray; Z. Halász; T. Szücs; Zs. Fülöp; Z. Korkulu; E. Somorjai
2015-04-07
Astrophysical reaction rates, which are mostly derived from theoretical cross sections, are necessary input to nuclear reaction network simulations for studying the origin of $p$ nuclei. Past experiments have found a considerable difference between theoretical and experimental cross sections in some cases, especially for ($\\alpha$,$\\gamma$) reactions at low energy. Therefore, it is important to experimentally test theoretical cross section predictions at low, astrophysically relevant energies. The aim is to measure reaction cross sections of $^{107}$Ag($\\alpha$,$\\gamma$)$^{111}$In and $^{107}$Ag($\\alpha$,n)$^{110}$In at low energies in order to extend the experimental database for astrophysical reactions involving $\\alpha$ particles towards lower mass numbers. Reaction rate predictions are very sensitive to the optical model parameters and this introduces a large uncertainty into theoretical rates involving $\\alpha$ particles at low energy. We have also used Hauser-Feshbach statistical model calculations to study the origin of possible discrepancies between prediction and data. An activation technique has been used to measure the reaction cross sections at effective center of mass energies between 7.79 MeV and 12.50 MeV. Isomeric and ground state cross sections of the ($\\alpha$,n) reaction were determined separately. The measured cross sections were found to be lower than theoretical predictions for the ($\\alpha$,$\\gamma$) reaction. Varying the calculated averaged widths in the Hauser-Feshbach model, it became evident that the data for the ($\\alpha$,$\\gamma$) and ($\\alpha$,n) reactions can only be simultaneously reproduced when rescaling the ratio of $\\gamma$- to neutron width and using an energy-dependent imaginary part in the optical $\\alpha$+$^{107}$Ag potential.......
Sigma: Strain-level inference of genomes from metagenomic analysis for biosurveillance
Ahn, Tae-Hyuk; Crosskey, JJ; Pan, Chongle
2015-01-01
Motivation: Metagenomic sequencing of clinical samples provides a promising technique for direct pathogen detection and characterization in biosurveillance. Taxonomic analysis at the strain level can be used to resolve serotypes of a pathogen in biosurveillance. Sigma was developed for strain-level identification and quantification of pathogens using their reference genomes based on metagenomic analysis. Results: Sigma provides not only accurate strain-level inferences, but also three unique capabilities: (i) Sigma quantifies the statistical uncertainty of its inferences, which includes hypothesis testing of identified genomes and confidence interval estimation of their relative abundances; (ii) Sigma enables strain variant calling by assigning metagenomic reads to their most likely reference genomes; and (iii) Sigma supports parallel computing for fast analysis of large datasets. The algorithm performance was evaluated using simulated mock communities and fecal samples with spike-in pathogen strains. Availability and Implementation: Sigma was implemented in C++ with source codes and binaries freely available at http://sigma.omicsbio.org.
Approximate inference in graphical models
Hennig, Philipp
2011-02-08
are developed for challenging applied inference problems. Chapter 3 derives the first probabilistic game tree search algorithm. Chapter 4 provides a novel expressive model for inference in psychometric questionnaires. Chapter 5 develops a model for the topics...
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM MATTHEW STEPHENS Departments of Statistics and Human statistical methods in genomics, among other areas of application. A typical workflow consists of i
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM KAMIAR RAD Department of Statistics Columbia carrying a finite total amount of information, the asymptotic sufficient statistics of the stimulus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GOURAB MUKHERJEE Department of Statistics Stanford directions in statistical probability forecasting. Building on these parallels we present a frequentist
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM INGRAM OLKIN Department of Statistics Stanford probability, statistics, combinatorics and graphs, numerical analysis and matrix theory. Special emphasis
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ZONGMING MA Department of Statistics University (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets
The University of Chicago Department of Statistics
of Statistics Harvard University "Equi-energy Sampler: From Statistical Inference to Statistical Mechanics the seminar in Eckhart 110. ABSTRACT We introduce a new sampling algorithm, the equi-energy sampler, the equi-energy sampler, utilizing the temperature-energy duality, targets the energy directly. The focus
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 ...
Crow, Ben D
2006-01-01
of Globalization: Statistics Weiss, L. (1997). "of Globalization: Statistics Milanovic, B. (1999). Truethe focus of global statistics, particularly in relation to
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...
Bayesian Inference: A Practical Primer
Loredo, Thomas J.
proposition to another · Deductive Inference: Strong syllogisms, logic; quantify with Boolean algebra). Frequentist: Probability describes "randomness" Venn, Boole, Fisher, Neymann, Pearson. . . x is a random
Introduction to Bayesian Inference Dept. of Astronomy, Cornell University
Babu, G. Jogesh
, and is subject to revision. A model is an idealization A model is a caricature of the system being modeled (Kac data. We gather data so they may speak for or against existing hypotheses, and guide the formation of several interacting modes of analyzing data. 8 / 111 #12;Bayesian Statistical Inference Â· A different
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM Joint seminar with Stevanovich Center PHILIPPE RIGOLLET Operations Research and Financial Engineering, Princeton University The Statistical Price to Pay ABSTRACT Computational limitations of statistical problems have largely been ignored or simply over- come
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
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 & Forecasting Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 545BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JIANQING FAN Department of Statistics Princeton University "Nonparametric specification tests for diffusion models in financial null distributions of proposed test statistics and compute their power func- tions. The finite sample
32. Statistics 1 32. STATISTICS
Masci, Frank
an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using and their statistical uncertainties in High Energy Physics. In Bayesian statistics, the interpretation of probability32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives
Journal of Statistical Planning and Inference 136 (2006) 19111922
Zhang, Li-Xin
2006-01-01
, the asymptotic power is an decreasing function of the asymptotic variance of the allocation proportions 2005 Abstract We derive a lower bound on the asymptotic variance of the allocation proportions from response- adaptive randomization procedures when the allocation proportions are asymptotically normal
Inferring Applications at the Network Layer using Collective Traffic Statistics
Zhang, Zhi-Li
not be accessible due to the use of encryption or tunneling protocols by endpoints or gateways. Furthermore
Ef?cient Parameter Estimation Using Implicit Statistical Inference
method of using spatial pattern data to parameterize the incidence function and other patch models has been criticized ..... pN(l)) describing the state of the Markov chain at time t. I use X(t) speci?cally to ...... tion and management. Island Press ...
Statistical inference in dynamic panel data Tze Leung Lai ,1
Small, Dylan
in the relative price of natural gas does not induce many consumers to immediately revise their consump- tion the demand for natural gas. In the residential and commercial markets for heating fuel, a short-run change of gas is to a large extent governed by the stock of gas appliances and the price of gas which vary over
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PO-LING LOH Department of Statistics University the seminar in Eckhart 110 ABSTRACT Noisy and missing data are prevalent in many real-world statistical, and provide theoretical guarantees for the statistical consistency of our methods. Although our estimators
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERNST WIT Statistics and Probability University devices collect a lot of information, typically about few independent statistical subjects or units statistics. In certain special cases the method can be tweaked to obtain L1-penalized GLM solution paths
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM NOUREDDINE EL KAROUI Department of Statistics will discuss the behavior of widely used statistical methods in the high-dimensional setting where the number surprising statistical phenomena occur: for instance, maximum likelihood methods are shown to be (grossly
Inferring population history from genealogies
Lohse, Konrad R.
2010-01-01
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 ...
Welsh, T.L.; McRae, L.P.; Delegard, C.H. [Westinghouse Hanford Co., Richland, WA (United States); Liebetrau, A.M. [Pacific Northwest Lab., Richland, WA (United States); Johnson, W.C. [USDOE Richland Operations Office, WA (United States); Theis, W.; Lemaire, R.J. [International Atomic Energy Agency, Vienna (Austria); Xiao, J. [International Atomic Energy Agency, Toronto, Ontario (Canada)
1995-06-01
Quantitative physical measurements are a n component of the International Atomic Energy Agency (IAEA) nuclear material m&guards verification regime. In December 1994, LA.FA safeguards were initiated on an inventory of excess plutonium powder items at the Plutonium Finishing Plant, Vault 3, on the US Department of Energy`s Hanford Site. The material originl from the US nuclear weapons complex. The diversity of the chemical form and the heterogenous physical form of this inventory were anticipated to challenge the precision and accuracy of quantitative destructive analytical techniques. A sampling design was used to estimate the degree of heterogeneity of the plutonium content of a variety of inventory items. Plutonium concentration, the item net weight, and the {sup 240}Pu content were among the variables considered in the design. Samples were obtained from randomly selected location within each item. Each sample was divided into aliquots and analyzed chemically. Operator measurements by calorimetry and IAEA measurements by coincident neutron nondestructive analysis also were performed for the initial physical inventory verification materials and similar items not yet under IAEA safeguards. The heterogeneity testing has confirmed that part of the material is indeed significantly heterogeneous; this means that precautionary measures must be taken to obtain representative samples for destructive analysis. In addition, the sampling variability due to material heterogeneity was found to be comparable with, or greater than, the variability of the operator`s calorimetric measurements.
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)
2014-01-20
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.
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SRIRAM SANKARARAMAN Department of Genetics Harvard Medical School Statistical Models for Analyzing Ancient Human Admixture WEDNESDAY, January 21, 2015, at 4 become available, as well as appropriate statistical models. In the first part of my talk, I will focus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PIOTR ZWIERNIK Department of Mathematics University of Genoa Understanding Statistical Models Through Their Geometry MONDAY, January 26, 2015, at 4:00 PM and Gaussian statistical models have a rich geometric structure and can be often viewed as algebraic sets
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
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
Global seismic monitoring as probabilistic inference Nimar S. Arora
Sudderth, Erik
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
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
Thermal noise for quantum state inference
D. Mogilevtsev; V. S. Shchesnovich; N. Korolkova
2013-02-15
In this work we describe a simple and efficient scheme for inference of photon number distribution by adding variable thermal noise to the signal. The inference remains feasible even if the scheme parameters are subject to random dynamical change.
Toddlers infer unobserved causes for spontaneous events
Muentener, Paul
Previous research suggests that children infer the presence of unobserved causes when objects appear to move spontaneously. Are such inferences limited to motion events or do children assume that unexplained physical events ...
Bayesian Inference for Radio Observations
Lochner, Michelle; Zwart, Jonathan T L; Smirnov, Oleg; Bassett, Bruce A; Oozeer, Nadeem; Kunz, Martin
2015-01-01
(Abridged) New telescopes like the Square Kilometre Array (SKA) will push into a new sensitivity regime and expose systematics, such as direction-dependent effects, that could previously be ignored. Current methods for handling such systematics rely on alternating best estimates of instrumental calibration and models of the underlying sky, which can lead to inaccurate uncertainty estimates and biased results because such methods ignore any correlations between parameters. These deconvolution algorithms produce a single image that is assumed to be a true representation of the sky, when in fact it is just one realisation of an infinite ensemble of images compatible with the noise in the data. In contrast, here we report a Bayesian formalism that simultaneously infers both systematics and science. Our technique, Bayesian Inference for Radio Observations (BIRO), determines all parameters directly from the raw data, bypassing image-making entirely, by sampling from the joint posterior probability distribution. Thi...
Step-Stress Accelerated Degradation Testing for Solar Reflectors: Preprint
Jones, W.; Elmore, R.; Lee, J.; Kennedy, C.
2011-09-01
To meet the challenge to reduce the cost of electricity generated with concentrating solar power (CSP) new low-cost reflector materials are being developed including metalized polymer reflectors and must be tested and validated against appropriate failure mechanisms. We explore the application of testing methods and statistical inference techniques for quantifying estimates and improving lifetimes of concentrating solar power (CSP) reflectors associated with failure mechanisms initiated by exposure to the ultraviolet (UV) part of the solar spectrum. In general, a suite of durability and reliability tests are available for testing a variety of failure mechanisms where the results of a set are required to understand overall lifetime of a CSP reflector. We will focus on the use of the Ultra-Accelerated Weathering System (UAWS) as a testing device for assessing various degradation patterns attributable to accelerated UV exposure. Depending on number of samples, test conditions, degradation and failure patterns, test results may be used to derive insight into failure mechanisms, associated physical parameters, lifetimes and uncertainties. In the most complicated case warranting advanced planning and statistical inference, step-stress accelerated degradation (SSADT) methods may be applied.
Submitted to the Annals of Applied Statistics STATISTICAL INFERENCE OF TRANSMISSION
Gilad, Yoav
. Supported by NIH Training Grant T32 HG00035 to the University of Washington. Supported by NIH Grants HD
Michele Arzano; Dario Benedetti
2008-09-04
Non-commutative quantum field theories and their global quantum group symmetries provide an intriguing attempt to go beyond the realm of standard local quantum field theory. A common feature of these models is that the quantum group symmetry of their Hilbert spaces induces additional structure in the multiparticle states which reflects a non-trivial momentum-dependent statistics. We investigate the properties of this "rainbow statistics" in the particular context of $\\kappa$-quantum fields and discuss the analogies/differences with models with twisted statistics.
Inference dynamics in transcriptional regulation
Asif, Hafiz Muhammad Shahzad
2012-06-25
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 ...
Statistical assessment of Monte Carlo distributional tallies
Kiedrowski, Brian C; Solomon, Clell J
2010-12-09
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.
Hunter, David
, following the publication of Venables & Ripley (1994). [See p. 1. Where that takes a significantly betterÂPlus include dynamic graphics (x6.3, brush and spin) and the classical statistics functions (x9 environment. It will help to have the library ripley available --- it should be in the same source
Jan de Leeuw
2011-01-01
with Real Data ? Annals Statistics, of 5:1055-1098, 1977.The Foundations of Statistics - Are There Any ? Synthese, [Statistics and the Sciences Jan de Leeuw UCLA Statistics
Practical Statistics for the LHC
Kyle Cranmer
2015-03-26
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
INFERENCE GENERATION DURING AUDITORY LANGUAGE COMPREHENSION
Osterhout, Lee
INFERENCE GENERATION DURING AUDITORY LANGUAGE COMPREHENSION David A. Swinney Lee Osterhout I. Introduction It has become nearly axiomatic (and even likely true) to hold that inference generation during the literature rife with observations that while there is little evi- dence of "automatic" generation of certain
Submitted to the Annals of Applied Statistics NON PARAMETRIC METHODS FOR GENOMIC
Bickel, Peter
Submitted to the Annals of Applied Statistics NON PARAMETRIC METHODS FOR GENOMIC INFERENCE By Peter associated with genome sequences plays an important role in modern biology. A key compo- nent of such statistical analyses is the computation of p-values and confidence bounds for statistics defined on the genome
Pratt, Vaughan
Motivation Beam sampling the iHMM Variational Inference for DP mixture models Collapsed Variational, 2009 #12;Motivation Beam sampling the iHMM Variational Inference for DP mixture models Collapsed Variational Inference for HDP Hybr Outline 1 Motivation 2 Beam sampling the iHMM 3 Variational Inference
J. Mark Heinzle; Claes Uggla
2012-12-21
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.
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatus UpdatesUsage Statistics Usage
Ayres, Daniel L.; Darling, Aaron; Zwickl, Derrick J.; Beerli, Peter; Holder, Mark T.; Lewis, Paul O.; Huelsenbeck, John P.; Ronquist, Fredrik; Swofford, David L.; Cummings, Michael P.; Rambaut, Andrew
2011-10-01
Phylogenetic inference is fundamental to our understanding of most aspects of the origin and evolution of life, and in recent years, there has been a concentration of interest in statistical approaches such as Bayesian ...
Approximate inference in Gaussian graphical models
Malioutov, Dmitry M., 1981-
2008-01-01
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 ...
Early word learning through communicative inference
Frank, Michael C., Ph. D. Massachusetts Institute of Technology
2010-01-01
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 ...
Testing with JUnit Testing with JUnit
Peters, Dennis
Testing with JUnit Testing with JUnit Running a test case: 1 Get the component to a known state (set up). 2 Cause some event (the test case). 3 Check the behaviour. · Record pass/fail · Track statistics · Typically we want to do a lot of test cases so it makes sense to automate. · Test cases
Quantrum chaos and statistical nuclear physics
Not Available
1986-01-01
This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YACINE AIT-SAHALIA Bendheim Refreshments following the seminar in Eckhart 110. ABSTRACT We propose statistical tests to discriminate frequency. The two statistics allow for a symmetric treatment of the problem: we can either take the null
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Uncertainty and Evidence introduced into the statistics literature as a way to describe the uncertainty inherent in a randomized test
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DANIEL J. SCHAID Mayo Clinic-control studies of candidate genes, we develop a new class of nonparametric statistics that can simultaneously test the association of multiple marker loci with disease. Our approach is based on U-statistics, which
Generalizations of quantum statistics
O. W. Greenberg
2008-05-02
We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.
Computing and Introductory Statistics
Kaplan, Daniel
2007-01-01
W. , (2007) “The Introductory Statistics Course: A PtolemaicTechnology Innovations in Statistics Education,1, Article 1.and Introductory Statistics Daniel T. Kaplan Macalester
Statistical Software - Overview
de Leeuw, Jan
2010-01-01
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Statistical Software - Overview
Jan De Leeuw
2011-01-01
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Information and Inference in Econometrics: Estimation, Testing and Forecasting
Tu, Yundong
2012-01-01
econometrics 13, 435-461 Caner, M. (2002), “A note onEconometric Theory 18, 800–814 Caner, M. and Hansen B.E. (Hausman, Bruce Hansen, Mehmet Caner, Thanasis Stengos, Amos
Testing the Role of Source Credibility on Memory for Inferences
Guillory, Jimmeka Joy
2012-10-19
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...
Stark, Philip B.
Intro Temporal Tests Declustering Methods Tests on SCEC data Spatiotemporal Test Discussion Testing Seismological Society of America Annual Meeting San Diego, CA #12;Intro Temporal Tests Declustering Methods Tests on SCEC data Spatiotemporal Test Discussion Quake Physics versus Quake Statistics · Distribution
Statistics of Voids in the 2dF Galaxy Redshift Survey
Santiago G. Patiri; Juan Betancort-Rijo; Francisco Prada; Anatoly Klypin; Stefan Gottlöber
2006-10-27
We present a statistical analysis of voids in the 2dF galaxy redshift survey (2dFGRS). In order to detect the voids, we have developed two robust algorithms. We define voids as non-overlapping maximal spheres empty of halos or galaxies with mass or luminosity above a given one. We search for voids in cosmological $N$-Body simulations to test the performance of our void finders. We obtain and analyze the void statistics for several volume-limited samples for the North Galactic Strip (NGP) and the South Galactic Strip (SGP) constructed from the 2dFGRS full data release. We find that the results obtained from the NGP and the SGP are statistically compatible. From the results of several statistical tests we conclude that voids are essentially uncorrelated, with at most a mild anticorrelation and that there is a dependence of the void number density on redshift at least at the 99.5% confidence level. We develop a technique to correct the distortion caused by the fact that we use the redshift as the radial coordinate. We calibrate this technique with mock catalogues and find that the correction might be of some relevance to carry out accurate inferences from void statistics. We study the statistics of the galaxies inside nine nearby voids. We find that galaxies in voids are not randomly distributed: they form structures like filaments. We also obtain the galaxy number density profile in voids. This profile follow a similar but steeper trend to that follow by halos in voids.
Utilizing the sequential probability ratio test for building joint monitoring
Allen, D. W. (David W.); Sohn, H. (Hoon); Worden, K.; Farrar, C. R. (Charles R.)
2002-01-01
In this application of the statistical pattern recognition paradigm, a prediction model of a chosen feature is developed from the time domain response of a baseline structure. After the model is developed, subsequent feature sets are tested against the model to determine if a change in the feature has occurred. In the proposed statistical inference for damage identification there are two basic hypotheses; (1) the model can predict the feature, in which case the structure is undamaged or (2) the model can not accurately predict the feature, suggesting that the structure is damaged. The Sequential Probability Ratio Test (SPRT) develops a statistical method that quickly arrives at a decision between these two hypotheses and is applicable to continuous monitoring. In the original formulation of the SPRT algorithm, the feature is assumed to be Gaussian and thresholds are set accordingly. It is likely, however, that the feature used for damage identification is sensitive to the tails of the distribution and that the tails may not necessarily be governed by Gaussian characteristics. By modeling the tails using the technique of Extreme Value Statistics, the hypothesis decision thresholds for the SPRT algorithm may be set avoiding the normality assumption. The SPRT algorithm is utilized to decide if the test structure is undamaged or damaged and which joint is exhibiting the change.
Carin, Lawrence
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus. Ginsburg2 , Alfred Hero III3 , Joseph Lucas2 , David Dunson4 and Lawrence Carin1Â§ 1 Electrical and Computer University 3 Electrical & Computer Engineering Department, University of Michigan 4 Statistics Department
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
Spatial Inference of Nitrate Concentrations in Groundwater
Woodard, Dawn B.
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
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
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
Deep inference proof theory equals categorical proof theory minus coherence
Pratt, Vaughan
Deep inference proof theory equals categorical proof Abstract This paper links deep inference proof theory, as studied by Gugliel* *mi et al., to categorical proof theory in the sense of Lambek et al.. It obs* *erves how deep
Inferring nuclear movements from fixed material Charless Fowlkes
Fowlkes, Charless
Inferring nuclear movements from fixed material Charless Fowlkes Jitendra Malik Electrical prior specific permission. #12;Inferring nuclear movements from fixed material Charless C. Fowlkes using nuclear positions extracted from a large number of images of fixed embryos. Embryos are sorted
Lectures on probability and statistics
Yost, G.P.
1984-09-01
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.
STATISTICAL TESTS FOR OPACITY EDWIN A. VALENTIJN
Peletier, Reynier
selection effects and possible biases. The unique logistics of selection effects for each depend on the value of the optical depth, but in a reverse way and with an approximately equal amplitude
A Systematic Review of Statistical Power in Software Engineering Experiments
is the notion of statistical power, which is defined as the probability that a statistical test will correctly Statistical power is an inherent part of empirical studies that employ significance testing and is essential accepted norms as well as the levels found in the related discipline of information systems research. Given
Deep inference proof theory equals categorical proof theory minus coherence
Pratt, Vaughan
Deep inference proof theory equals categorical proof theory minus coherence DOMINIC J. D. HUGHES Stanford University October 6, 2004 Abstract This paper links deep inference proof theory, as studied by Guglielmi et al., to categorical proof theory in the sense of Lambek et al.. It observes how deep inference
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
Practical Static Ownership Inference Ana Milanova and Yin Liu
Bystroff, Chris
Practical Static Ownership Inference Ana Milanova and Yin Liu Rensselaer Polytechnic Institute. This paper presents novel static analyses for Java that infers ownership according to two known ownership. This paper presents novel static analyses for Java that infer ownership accord- ing to two well
Parallel Exact Inference Yinglong Xia1
Hwang, Kai
using p processors, we show an execution time of O(nk2 m + n2w + (nw2 + wN log n + rwwN + rwN log N)/p of the classical technique of converting a Bayesian network to a junction tree before computing inference. We propose a parallel algorithm for constructing potential ta- bles for a junction tree and explore
Inferring the Rate-Length Law of Protein Folding
Lane, Thomas J
2013-01-01
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.
Scalable Statistical Bug Isolation Computer Sciences Department
Aiken, Alex
algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical Descriptors D.2.4 [Software Engineer- ing]: Software/Program Verification--statistical methods; D.2 with a program point may or may not be tested each time the program point is reached). A feedback report R
Gaussian Quadrature Inference for Multicarrier Continuous-Variable Quantum Key Distribution
Laszlo Gyongyosi
2015-04-21
We propose the Gaussian quadrature inference (GQI) method for multicarrier continuous-variable quantum key distribution (CVQKD). A multicarrier CVQKD protocol utilizes Gaussian subcarrier quantum continuous variables (CV) for information transmission. The GQI framework provides a minimal error estimate of the quadratures of the CV quantum states from the discrete, measured noisy subcarrier variables. GQI utilizes the fundamentals of regularization theory and statistical information processing. We characterize GQI for multicarrier CVQKD, and define a method for the statistical modeling and processing of noisy Gaussian subcarrier quadratures. We demonstrate the results through the adaptive multicarrier quadrature division (AMQD) scheme. We define direct GQI (DGQI), and prove that it achieves a theoretical minimal magnitude error. We introduce the terms statistical secret key rate and statistical private classical information, which quantities are derived purely by the statistical functions of GQI. We prove the secret key rate formulas for a multiple access multicarrier CVQKD via the AMQD-MQA (multiuser quadrature allocation) scheme. The GQI and DGQI frameworks can be established in an arbitrary CVQKD protocol and measurement setting, and are implementable by standard low-complexity statistical functions, which is particularly convenient for an experimental CVQKD scenario.
An optimization based algorithm for Bayesian inference
Wang, Zheng, S.M. Massachusetts Institute of Technology
2015-01-01
In the Bayesian statistical paradigm, uncertainty in the parameters of a physical system is characterized by a probability distribution. Information from observations is incorporated by updating this distribution from prior ...
Nonparametric Inference for High Dimensional Data
Mukhopadhyay, Subhadeep
2013-04-23
Learning from data, especially ‘Big Data’, is becoming increasingly popular under names such as Data Mining, Data Science, Machine Learning, Statistical Learning and High Dimensional Data Analysis. In this dissertation we propose a new related field...
VOStat: A Statistical Web Service for Astronomers
Chakraborty, Arnab; Babu, G Jogesh
2013-01-01
VOStat is a Web service providing interactive statistical analysis of astronomical tabular datasets. It is integrated into the suite of analysis and visualization tools associated with the international Virtual Observatory (VO) through the SAMP communication system. A user supplies VOStat with a dataset extracted from the VO, or otherwise acquired, and chooses among $\\sim 60$ statistical functions. These include data transformations, plots and summaries, density estimation, one- and two-sample hypothesis tests, global and local regressions, multivariate analysis and clustering, spatial analysis, directional statistics, survival analysis (for censored data like upper limits), and time series analysis. The statistical operations are performed using the public domain {\\bf R} statistical software environment, including a small fraction of its $>4000$ {\\bf CRAN} add-on packages. The purpose of VOStat is to facilitate a wider range of statistical analyses than are commonly used in astronomy, and to promote use of m...
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 ...
Office of Energy Efficiency and Renewable Energy (EERE)
This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 are available for...
Office of Energy Efficiency and Renewable Energy (EERE)
EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template...
MATHMATICS & APPLIED STATISTICS
Frey, Jesse C.
MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics
Statistics and Actuarial Science
Chauve, Cedric
SCIENCE SFU.CA/ SCIENCE Statistics and Actuarial Science #12;Further Information Student info, academic calendar, registration students.sfu.ca Science advising sfu.ca/science/undergrad/advising Statistics and Actuarial Science The Department of Statistics and Actuarial Science offers the degree
Physics 630 Statistical Physics
Kioussis, Nicholas
strongly the issue of problem solving and understanding of the main concepts in Statistical PhysicsPhysics 630 Statistical Physics Spring 2005 Logistics Lecture Room: 1100 (Science I, 1st floor (Supplement) Introduction to Modern Statistical Mechanics, by David Chandler, Oxford Objectives This course
Qai, Qiang [University of Iowa; Rushton, Gerald [University of Iowa; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL
2006-01-01
The objective of this research is to compute population estimates by age and sex for small areas whose boundaries are different from those for which the population counts were made. In our approach, population surfaces and age-sex proportion surfaces are separately estimated. Age-sex population estimates for small areas and their confidence intervals are then computed using a binomial model with the two surfaces as inputs. The approach was implemented for Iowa using a 90 m resolution population grid (LandScan USA) and U.S. Census 2000 population. Three spatial interpolation methods, the areal weighting (AW) method, the ordinary kriging (OK) method, and a modification of the pycnophylactic method, were used on Census Tract populations to estimate the age-sex proportion surfaces. To verify the model, age-sex population estimates were computed for paired Block Groups that straddled Census Tracts and therefore were spatially misaligned with them. The pycnophylactic method and the OK method were more accurate than the AW method. The approach is general and can be used to estimate subgroup-count types of variables from information in existing administrative areas for custom-defined areas used as the spatial basis of support in other applications.
Local dependence in random graph models: Characterization, properties and statistical inference
Schweinberger, M; Handcock, MS
2015-01-01
edge variables: the shaded pie charts represent posteriorvariables: the shaded pie charts represent posterior mem-to identify cells. The pie charts in Fig. 5 represent the
Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data
Chen, Shuai
2012-07-16
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...
Schmidt, Volker
bodies, and fuel cell technology. Materials produced using different composition and fabrication an important role. The applications of fibre-based materials include thermal insulation, aircraft and car
Stochastic spectral methods for Bayesian inference in inverse ...
... CA The Bayesian approach to inverse problems provides a foundation for inference from noisy and limited data, a natural mechanism for regularization in the ...
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)
2010-07-13
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)
2011-01-25
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)
2011-01-04
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.
The Annals of Statistics 2013, Vol. 41, No. 5, 22632291
Tibshirani, Ryan
of statistics used in two-sample and independence testing: on the one hand, the energy distances and distance that the energy distance most commonly employed in statistics is just one member of a parametric family of kernels of energy distance-based statistics is their compact repre- sentation in terms of certain expectations
Key China Energy Statistics 2011
Levine, Mark
2013-01-01
Source: National Bureau of Statistics (NBS), China EnergyNations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic of
Key China Energy Statistics 2012
Levine, Mark
2013-01-01
Nations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic ofYearbook. Beijing: China Statistics Press. 2. Transformation
Statistics and the Modern Student
Robert Gould
2011-01-01
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Statistics and the Modern Student
Gould, Robert
2010-01-01
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Inferring interactions and functions of proteins using evolutionary information
Kim, Yohan
2007-01-01
implemented in R statistical language [1]. In this ?gure,C. R: A Language and Environment for Statistical Computing.
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
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
Test (2009) 18: 497515 DOI 10.1007/s11749-008-0110-1
Kundu, Debasis
2009-01-01
, Indian Statistical Institute, 203 B.T. Road, Kolkata, Pin 700108, India e-mail: bis@isical.ac.in D. Kundu Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Pin 208016, India e Abstract In this paper, we consider the statistical inference of the unknown parame- ters
The Mathematics of Causal Inference Judea Pearl
California at Los Angeles, University of
with the econometric tradition of Haavelmo, Marschak and Heckman. In this symbiosis, counterfactuals emerge as natural, Alexandria, VA: American Statistical Association, 2515-2529, 2013. TECHNICAL REPORT R-416 September 2013 #12;Finally, Section 6 describes recent work on missing data and shows that, by viewing missing data
Novel approximations for inference and learning in nonlinear dynamical systems
Heskes, Tom
Novel approximations for inference and learning in nonlinear dynamical systems Alexander Ypma #3 from marketing research. 1 Introduction Many real-world systems are nonlinear, dynamical and stochastic in nature. Inference and learning of nonlinear system models with hidden dynamics is a diĆcult task, which
Web-Based Inference Detection Jessica Staddon1
Golle, Philippe
give away one's secret. To illustrate the problem, consider a redacted biogra- phy [8] (shown in the top 10 results, pages that are all related to the Bin Laden family. This inference, as well to protect secret information from unwanted inferences extends far beyond the FBI. In addition to in
Energy Scaling Laws for Distributed Inference in Random Fusion Networks
Yukich, Joseph E.
1 Energy Scaling Laws for Distributed Inference in Random Fusion Networks Animashree Anandkumar Abstract--The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors distributed i.i.d. according to a general spatial
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
Gregory, D.L.; Hansche, B.D.
1996-06-01
In order to support advanced manufacturing, Sandia has acquired the capability to produce plastic prototypes using stereolithography. Currently, these prototypes are used mainly to verify part geometry and ``fit and form`` checks. This project investigates methods for rapidly testing these plastic prototypes, and inferring from prototype test data actual metal part performance and behavior. Performances examined include static load/stress response, and structural dynamic (modal) and vibration behavior. The integration of advanced non-contacting measurement techniques including scanning laser velocimetry, laser holography, and thermoelasticity into testing of these prototypes is described. Photoelastic properties of the epoxy prototypes to reveal full field stress/strain fields are also explored.
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
F. Benatti; M. Fannes
1998-11-26
We use multi-time correlation functions of quantum systems to construct random variables with statistical properties that reflect the degree of complexity of the underlying quantum dynamics.
Kevin Cahill
2006-12-24
The way a field transforms under rotations determines its statistics--as is easy to see for scalar, Dirac, and vector fields.
Dorn, Sebastian; Enßlin, Torsten A.; Ramirez, Erandy; Kunze, Kerstin E.
2014-06-01
We present a generic inference method for inflation models from observational data by the usage of higher-order statistics of the curvature perturbation on uniform density hypersurfaces. This method is based on the calculation of the posterior for the primordial non-Gaussianity parameters f{sub NL} and g{sub NL}, which in general depend on specific parameters of inflation and reheating models, and enables to discriminate among the still viable inflation models. To keep analyticity as far as possible to dispense with numerically expensive sampling techniques a saddle-point approximation is introduced, whose precision is validated for a numerical toy example. The mathematical formulation is done in a generic way so that the approach remains applicable to cosmic microwave background data as well as to large scale structure data. Additionally, we review a few currently interesting inflation models and present numerical toy examples thereof in two and three dimensions to demonstrate the efficiency of the higher-order statistics method. A second quantity of interest is the primordial power spectrum. Here, we present two Bayesian methods to infer it from observational data, the so called critical filter and an extension thereof with smoothness prior, both allowing for a non-parametric spectrum reconstruction. These methods are able to reconstruct the spectra of the observed perturbations and the primordial ones of curvature perturbation even in case of non-Gaussianity and partial sky coverage. We argue that observables like T- and B-modes permit to measure both spectra. This also allows to infer the level of non-Gaussianity generated since inflation.
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
Maximum-Entropy Inference with a Programmable Annealer
Nicholas Chancellor; Szilard Szoke; Walter Vinci; Gabriel Aeppli; Paul A. Warburton
2015-06-26
Optimisation problems in science and engineering typically involve finding the ground state (i.e. the minimum energy configuration) of a cost function with respect to many variables. If the variables are corrupted by noise then this approach maximises the likelihood that the solution found is correct. An alternative approach is to make use of prior statistical information about the noise in conjunction with Bayes's theorem. The maximum entropy solution to the problem then takes the form of a Boltzmann distribution over the ground and excited states of the cost function. Here we use a programmable Josephson junction array for the information decoding problem which we simulate as a random Ising model in a field. We show experimentally that maximum entropy decoding at finite temperature can in certain cases give competitive and even slightly better bit-error-rates than the maximum likelihood approach at zero temperature, confirming that useful information can be extracted from the excited states of the annealing device. Furthermore we introduce a microscopic bit-by-bit analytical method which is agnostic to the specific application and use it to show that the annealing device samples from a highly Boltzmann-like distribution. Machines of this kind are therefore candidates for use in a wide variety of machine learning applications which exploit maximum entropy inference, including natural language processing and image recognition. We further show that the limiting factor for performance in our experiments is likely to be control errors rather than failure to reach equilibrium. Our work also provides a method for determining if a system is in equilibrium which can be easily generalized. We discuss possible applications of this method to spin glasses and probing the performance of the quantum annealing algorithm.
Weakly sufficient quantum statistics
Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska
2009-11-23
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.
Statistics Statistique Canada Canada
Canada Développement social Canada Culture,Tourism and the Centre for Education Statistics Doctoral, Tourism and the Centre for Education Statistics Division Main Building, Room 2001, Ottawa, K1A 0T6 to access the product This product, Catalogue no. 81-595-M, is available for free in electronic format
A statistical perspective on data mining Jonathan Hosking, Edwin Pednault and Madhu Sudan
Sudan, Madhu
A statistical perspective on data mining Jonathan Hosking, Edwin Pednault and Madhu Sudan IBM T. J. Watson Research Center, Yorktown Heights, N.Y., U.S.A. Abstract Data mining can be regarded as a collection of methods for drawing inferences from data. The aims of data mining,and some of its methods
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
G. T. von Nessi; M. J. Hole
2013-01-30
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.
Statistics of football dynamics
Mendes, R S; Anteneodo, C
2007-01-01
We investigate the dynamics of football matches. Our goal is to characterize statistically the temporal sequence of ball movements in this collective sport game, searching for traits of complex behavior. Data were collected over a variety of matches in South American, European and World championships throughout 2005 and 2006. We show that the statistics of ball touches presents power-law tails and can be described by $q$-gamma distributions. To explain such behavior we propose a model that provides information on the characteristics of football dynamics. Furthermore, we discuss the statistics of duration of out-of-play intervals, not directly related to the previous scenario.
Computational Statistics Canonical Forest
Ahn, Hongshik
: First Author: Yu-Chuan Chen First Author Secondary Information: Order of Authors: Yu-Chuan Chen Hyejung;Computational Statistics manuscript No. (will be inserted by the editor) Canonical Forest Yu-Chuan Chen
Dave
2012-03-25
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Massimo Testa
2015-07-30
Based on the fundamental principles of Relativistic Quantum Mechanics, we give a rigorous, but completely elementary, proof of the relation between fundamental observables of a statistical system when measured relatively to two inertial reference frames, connected by a Lorentz transformation.
Approximate inference in graphical models using LP relaxations
Sontag, David Alexander
2010-01-01
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 ...
Variational Bayesian Inference with Stochastic Search John Paisley1
Kaski, Samuel
Variational Bayesian Inference with Stochastic Search John Paisley1 jpaisley@berkeley.edu David M (Beal, 2003) and factor analysis (Paisley & Carin, 2009). In addition, recent development of the theory
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01
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 ...
Declarative Modeling and Bayesian Inference of Dark Matter Halos
Kronberger, Gabriel
2013-01-01
Probabilistic programming allows specification of probabilistic models in a declarative manner. Recently, several new software systems and languages for probabilistic programming have been developed on the basis of newly developed and improved methods for approximate inference in probabilistic models. In this contribution a probabilistic model for an idealized dark matter localization problem is described. We first derive the probabilistic model for the inference of dark matter locations and masses, and then show how this model can be implemented using BUGS and Infer.NET, two software systems for probabilistic programming. Finally, the different capabilities of both systems are discussed. The presented dark matter model includes mainly non-conjugate factors, thus, it is difficult to implement this model with Infer.NET.
How Listeners Infer the Causes of Disfluent Speech
Lindsay, Dawn
2009-07-03
The effect of disfluencies on listeners’ judgements of the confidence and correctness of a speaker was measured and the mechanisms used by listeners to infer the causes of these disfluencies were investigated. Listeners heard speakers give answers...
A multiscale framework for Bayesian inference in elliptic problems
Parno, Matthew David
2011-01-01
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 ...
BAYESIAN INFERENCE IN PUBLIC ADMINISTRATION RESEARCH: SUBSTANTIVE DIFFERENCES FROM
Gill, Jeff
BAYESIAN INFERENCE IN PUBLIC ADMINISTRATION RESEARCH: SUBSTANTIVE DIFFERENCES FROM SOMEWHAT administration is defective and should be replaced. The standard classicist approach to producing and reporting for structuring scienti#12;c research into administrative questions due to: overt assumptions, exible parametric
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
Springer Series in Statistics Springer Series in Statistics
Cappé, Olivier
and practitioners in areas such as statistics, signal processing, communications engineering, control theory class of statistical models with applications in diverse areas such as communications engineering models, including both algo- rithms and statistical theory. Topics range from filtering and smoothing
ARNAB MAITY Department of Statistics
Maity, Arnab
Mallick 2003 B. Stat. (Honors), Statistics, Indian Statistical Institute, Calcutta, India First classMay, 2015 ARNAB MAITY Department of Statistics North Carolina State University Campus Box 8203 2008 Ph.D., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J
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
Efficient, fast and principled mean-field inference for strongly coupled data
Jacquin, Hugo
2015-01-01
We present a new method for inferring pairwise interactions from the correlations of datasets of units that can assume any number of states. Thanks to a principled and systematic approach, our method solves several well known issues of naive mean-field and its more recent refinements. The obtained inference is stable and quantitative even deep in the glassy phase of random spin systems, where other methods fail. Effective fields and couplings are inferred with the correct magnitude by the algorithm, and correlate well with the true couplings and fields used to generate the data, even for large couplings. These can then be used to generate new configurations that have high probability in the original model. Because most of the approach is analytical, the computing cost is very low. We test our approach on the Sherrington-Kirkpatrick model in presence of magnetic fields, and show that it performs very well in the glassy phase, even for small or biased sampling. This is because our approach is self-regularized, ...
Going off grid: Computationally efficient inference for log-Gaussian Cox processes
Simpson, Daniel; Lindgren, Finn; Sřrbye, Sigrunn; Rue, Hĺvard
2011-01-01
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...
Differential Privacy and Robust Statistics Cynthia Dwork
Lei, Jing
for differentially private mechanisms, which we call Propose-Test-Release (PTR), and for which we give a formal, the design of insensitive algorithms can require considerable re-thinking of existing algorithms. Much. Most well-known elementary statistical methods are para- metric. For example, given data samples x1
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Dahl, David B.
: Statistics Stat 497R Introduction to Statistical Research Stat 538 Survival Analysis Note: Students may countBS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics & Oral Communication Quantitative Reasoning Languages of Learning (Math or Language) Arts, Letters
Matsen, Frederick A
2011-01-01
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.
Quantum Chaos and Statistical Mechanics
Mark Srednicki
1994-06-14
We briefly review the well known connection between classical chaos and classical statistical mechanics, and the recently discovered connection between quantum chaos and quantum statistical mechanics.
Lectures on probability and statistics. Revision
Yost, G.P.
1985-06-01
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. They 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 probabilty of any specified outcome. They 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. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.
Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum
J. D. Hague; B. R. Becker; M. S. Gold; J. A. J. Matthews
2008-08-20
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.
Testing for Subcellular Randomness
Babatunde O. Okunoye
2008-01-29
Statistical tests were conducted on 1,000 numbers generated from the genome of Bacteriophage T4, obtained from GenBank with accession number AF158101.The numbers passed the non-parametric, distribution-free tests.Deoxyribonucleic acid was discovered to be a random number generator, existent in nature.
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics
Wolfe, Patrick J.
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics Xiao-Li Meng Late evening instead to the Bell Telephone Laboratories.'' Having one's statistical research rooted in and moti- vated by real-life applications became a hallmark of Harvard Statistics' outlook (or ``departmentality'') from
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was first published in 1963 as a series of five Army Ordnance Pamphlets OSRDDP 20-110-114. The publication was prepared in the Statistical. Basic Statistical Concepts and Analysis and Inter- pretation of Measurement Data 2. Standard Techniques
Statistical Theory MT 2009 Problems 1: Solution sketches
Reinert, Gesine
=1 Xi and put T = X 1 n-1 n i=1(Xi - X)2 . Show that T is an ancillary statistic. What does this say the distribution of T does not depend on neither; it is an ancillary statistic. Thus a t-test based on exponential of A is independent of (so A is an ancillary statistic). c) Show that any value in the interval x(n) - 1 2 , x(1) + 1
Banaji,. Murad
MATHEMATICS AND STATISTICS Canterbury The UK's European university Undergraduate study #12;2 ACADEMIC EXCELLENCE AND INSPIRATIONAL TEACHING Much of science is based upon the application of mathematics as for computer science. New discoveries within mathematics affect not only science, but also our general
Thermodynamics for Fractal Statistics
Wellington da Cruz
1998-12-15
We consider for an anyon gas its termodynamics properties taking into account the fractal statistics obtained by us recently. This approach describes the anyonic excitations in terms of equivalence classes labeled by fractal parameter or Hausdorff dimension $h$. An exact equation of state is obtained in the high-temperature and low-temperature limits, for gases with a constant density of states.
Chen, Zehua
, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department
Leveraging Data Lineage to Infer Logical Relationships between Astronomical Catalogs
Buddelmeijer, Hugo
2012-01-01
A novel method to infer logical relationships between sets is presented. These sets can be any collection of elements, for example astronomical catalogs of celestial objects. The method does not require the contents of the sets to be known explicitly. It combines incomplete knowledge about the relationships between sets to infer a priori unknown relationships. Relationships between sets are represented by sets of Boolean hypercubes. This leads to deductive reasoning by application of logical operators to these sets of hypercubes. A pseudocode for an efficient implementation is described. The method is used in the Astro-WISE information system to infer relationships between catalogs of astronomical objects. These catalogs can be very large and, more importantly, their contents do not have to be available at all times. Science products are stored in Astro-WISE with references to other science products from which they are derived, or their dependencies. This creates full data lineage that links every science pro...
Dahl, David B.
BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics For students entering the degree program during the 20142015 curricular year. UNIVERSITY CORE* Calculus 1 Math 113 Calculus 2 Complete one course from the following: Stat 121 Principles of Statistics
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
Mark G. Jackson
2008-12-30
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 worldsheet 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.
AMERICAN STATISTICAL ASSOCIATION (ASA)
U.S. Energy Information Administration (EIA) Indexed Site
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: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall toUranium Marketing Annual ReportAMERICAN STATISTICAL
Statistical simulation procedures
Tremelling, Robert Norman
1970-01-01
that theoretical procedures are im- practical. Thus, with the advent of the electronic computer, numeri ca'I or simul ation procedures for ap- proximating this distribution function have been de- veloped. For the extension of the Stratified Monte Carlo (S. M... distribution functions ano their parameters. With the rising importance of statistics, and the advent of the computer, Honte Carlo methods are just now being investigated. Although definitions of Honte Carlo samplino may differ, it is usually associated...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services Â» Program ManagementAct FAQsAnnualAnnualHawaiiStatistical
Decentralized Inference over Multiple Access Ke Liu, Hesham El Gamal
El-Gamal, Hesham
inherently calls for utilizing tools from statistical decision theory and communications theory. Earlier collect observation data about a hidden source and communicate relevant statistics to a receiver node medium that provides the physical communication environment for sensor networks. The problem
Myers, Chris
2014-01-01
statistical quantities characterizing the first spillover event from animals to humans, including the probability of spillover, the first passage time distribution for human infection, and disease prevalence in the animal population at spillover. Large stochastic fluctuations in those quantities can make inference
Pseudochaos in Statistical Physics
Boris Chirikov
1997-04-30
A new generic dynamical phenomenon of pseudochaos and its relevance to the statistical physics both modern as well as traditional one are considered and explained in some detail. The pseudochaos is defined as a statistical behavior of the dynamical system with discrete energy and/or frequency spectrum. In turn, the statistical behavior is understood as time-reversible but nonrecurrent relaxation to some steady state, at average, superimposed with irregular fluctuations. The main attention is payed to the most important and universal example of pseudochaos, the so-called quantum chaos that is dynamical chaos in bounded mesoscopic quantum systems. The quantum chaos as a mechanism for implementation of the fundamental correspondence principle is also discussed. The quantum relaxation localization, a peculiar characteristic implication of pseudochaos, is reviewed in both time-dependent and conservative systems with special emphasis on the dynamical decoherence of quantum chaotic states. Recent results on the peculiar global structure of the energy shell, the Green function spectra and the eigenfunctions, both localized and ergodic, in a generic conservative quantum system are presented. Examples of pseudochaos in classical systems are given including linear oscillator and waves, digital computer and completely integrable systems. A far-reaching similarity between the dynamics of a few-freedom quantum system at high energy levels (n >> 1) and that of many--freedom one (N >> 1) is also discussed.
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Rosso, Paolo
) and the Geographic Names Information System5 (GNIS) are freely available and pro- vide plenty of geographicalInferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval task. In many cases, explicit geographical information is missing from the documents, for instance
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs
Samaras, Dimitris
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs Alexandros Abstract--The cast shadows in an image provide important information about illumination and geometry environment, a set of geometry parameters, and an estimate of the cast shadows in the scene given a single
DemandDriven Type Inference with Subgoal Pruning
Tobin-Hochstadt, Sam
Demand-Driven Type Inference with Subgoal Pruning: Trading Precision for Scalability S. Alexander, but no further. For larger programs, this paper proposes using a kind of demand-driven analysis where the number pro- poses modifying existing algorithms in two ways: (1) make them demand-driven, and (2) make them
Natural Language Grammatical Inference with Recurrent Neural Networks
Giles, C. Lee
Natural Language Grammatical Inference with Recurrent Neural Networks Steve Lawrence, Member, IEEE of a complex grammar with neural networksĐspecifically, the task considered is that of training a network-and-Binding theory. Neural networks are trained, without the division into learned vs. innate components assumed
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 G¨ornitz, Franziska Biegler, Klaus-Robert M¨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
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
FPGA Implementation of Fuzzy Inference System for Embedded Applications
FPGA Implementation of Fuzzy Inference System for Embedded Applications Dr. Kasim M. Al@gmail.com Abstract:- Implementing algorithms in software limits the performance of real-time systems, since the data is processed serially. The new generation of FPGAs with embedded processors are attracting the interest
Inference for the Pareto, half normal and related distributions
Olive, David
such as national incomes. See Arnold (1983) for additional applications. If Y has a Pareto distribution, Y PAR parameter exponential distribution and X G(1, ). Inference for this distribution is discussed, for example are the observed values of Yi, then maximizing the log likelihood log(LY ()) is equivalent to maximizing log
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
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
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
Eigen-Inference for Energy Estimation of Multiple Sources
1 Eigen-Inference for Energy Estimation of Multiple Sources Romain Couillet, Student Member, IEEE, the transmission policy in the secondary network can be accurately and dynamically adapted. An example of use on Flexible Radio, SUP´ELEC, Gif sur Yvette, 91192, Plateau de Moulon, 3, Rue Joliot- Curie, France e
Inferring Networks of Diffusion and Influence Gomez-Rodriguez
Thrun, Sebastian
a one year period to infer how information flows through the online media space. We find over which contagions prop- agate. Given the times when nodes adopt pieces of information or become network diffusion there are two fundamental challenges one has to address. First, to be able to track
Inferring Recursive Data Types David McAllester
McAllester, David
, dmac@research.att.com, (908)5825412, http::/www.ai.mit.edu/people/dam/dam.html Abstract. This paper (oe)list; CONS : 8oe oe \\Theta (oe)list ! (oe)list Here we are interested in the problem of declarationfree type inference, i.e., the problem of constructing types, such as the notion of a list
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ANDREA MONTANARI Departments of Electrical Engineering and Statistics Stanford University Sharp Thresholds in Statistical an important role in some sta- tistical learning and statistical signal processing problems, in part because
International petroleum statistics report
1995-10-01
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This 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). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.
ARM - Historical Operational 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015Visitor
Presented by Statistics at Scale
.S. Department of Energy Contact George Ostrouchov Statistics and Data Sciences Computer Science and MathematicsPresented by Statistics at Scale George Ostrouchov Statistics and Data Sciences Computer Science and Mathematics Division #12;2 Managed by UT-Battelle for the U.S. Department of Energy Ostrouchov_SDS_SC10 Common
PROGRAMME SPECIFICATION Programme title: Statistics
Guillas, Serge
in statistical theory and applications which enables graduates to enter specialist employment or academic in statistical computing and communication are assessed by coursework only. The summer project is assessedPROGRAMME SPECIFICATION Programme title: Statistics Final award (BSc, MA etc): (where stopping off
International petroleum statistics report
1997-05-01
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics 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 twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
A regression approach to infer electricity consumption of legacy telecom equipment
Greenberg, Albert
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
THE PERSISTENCE OF INFERENCES IN MEMORY FOR YOUNGER AND OLDER ADULTS
Guillory, Jimmeka J.
2010-07-14
Younger and older adults’ susceptibility to the continued influence of inferences in memory was examined using a paradigm implemented by Wilkes and Leatherbarrow. Research has shown that younger adults have difficulty forgetting inferences they make...
Model selection as a tool for phylogeographic inference: an example from the willow Salix melanopsis
Sullivan, Jack
Model selection as a tool for phylogeographic inference: an example from the willow Salix in order to infer the phylogeographic history of Salix melan- opsis, a riparian willow with a disjunct
Testing Closeness of Discrete Distributions
Fortnow, Lance
Given samples from two distributions over an n-element set, we wish to test whether these distributions are statistically close. We present an algorithm which uses sublinear in n, specifically, O(n[superscript 2/3]?[superscript ...
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
http://www.cs.bu.edu/groups/wing Density Inference in Wireless Sensor Networks
Matta, Abraham "Ibrahim"
@ BANANAS'05: Density Inference in WSN 2 What's a sensor network? Sensor nodes perform sensing tasks;1/20/2005 Matta @ BANANAS'05: Density Inference in WSN 3 What's a SN? (cont'd) Data flowing from sources (sensors @ BANANAS'05: Density Inference in WSN 4 Application-specific Protocols Wireless SN Ad-hoc wireless
Fractons and Fractal Statistics
Wellington da Cruz
2000-07-31
Fractons are anyons classified into equivalence classes and they obey a specific fractal statistics. The equivalence classes are labeled by a fractal parameter or Hausdorff dimension $h$. We consider this approach in the context of the Fractional Quantum Hall Effect (FQHE) and the concept of duality between such classes, defined by $\\tilde{h}=3-h$ shows us that the filling factors for which the FQHE were observed just appear into these classes. A connection between equivalence classes $h$ and the modular group for the quantum phase transitions of the FQHE is also obtained. A $\\beta-$function is defined for a complex conductivity which embodies the classes $h$. The thermodynamics is also considered for a gas of fractons $(h,\
Inference and learning in sparse systems with multiple states
Braunstein, A. [Human Genetics Foundation, Via Nizza 52, I-10126 Torino (Italy); Politecnico di Torino, C.so Duca degli Abruzzi 24, I-10129 Torino (Italy); Ramezanpour, A.; Zhang, P. [Politecnico di Torino, C.so Duca degli Abruzzi 24, I-10129 Torino (Italy); Zecchina, R. [Politecnico di Torino, C.so Duca degli Abruzzi 24, I-10129 Torino (Italy); Human Genetics Foundation, Via Nizza 52, I-10126 Torino (Italy); Collegio Carlo Alberto, Via Real Collegio 30, I-10024 Moncalieri (Italy)
2011-05-15
We discuss how inference can be performed when data are sampled from the nonergodic phase of systems with multiple attractors. We take as a model system the finite connectivity Hopfield model in the memory phase and suggest a cavity method approach to reconstruct the couplings when the data are separately sampled from few attractor states. We also show how the inference results can be converted into a learning protocol for neural networks in which patterns are presented through weak external fields. The protocol is simple and fully local, and is able to store patterns with a finite overlap with the input patterns without ever reaching a spin-glass phase where all memories are lost.
Some Inference Problems in High-Dimensional Linear Models
Lopes, Miles Edward
2015-01-01
Massart, P. Concentration inequalities: A nonasymp- toticand Plan, Y. “Tight oracle inequalities for low-rank matrixof concentration inequalities to statistics”. In: Annales-
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, ...
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, ...
A Tutorial on Time-Evolving Dynamical Bayesian Inference
Stankovski, Tomislav; McClintock, Peter V E; Stefanovska, Aneta
2013-01-01
We present a tutorial for Bayesian inference of time-evolving coupled systems in the presence of noise. It includes the necessary theoretical description and the algorithms for its implementation. For general programming purposes, a pseudocode description is given. Examples based on coupled phase and limit-cycle oscillators illustrate the most important features. Codes written in MatLab for the method and the examples accompany the tutorial.
Generation of fresh and pure random numbers for loophole-free Bell tests
Carlos Abellan; Waldimar Amaya; Daniel Mitrani; Valerio Pruneri; Morgan W. Mitchell
2015-06-08
Quantum nonlocality is one of the most striking predictions to emerge from quantum theory, and has not been demonstrated unambiguously. Beyond its fundamental interest, a loophole-free Bell test would enable powerful "device independent" information protocols, guaranteed by the impossibility of faster-than-light communication. Current efforts to simultaneously close the detection, locality, and freedom of choice (FoC) loopholes require random number generation (RNG) with an unprecedented combination of speed, unpredictability, and confidence. Here we combine ultra-fast RNG by accelerated laser phase diffusion with real-time randomness extraction and metrological randomness assurances to produce a RNG suitable for loophole-free Bell tests. Under paranoid assumptions we infer error rates below 1e-8 at 5{\\sigma} statistical confidence for output based on spontaneous emission events less than 50 ns old. Tb- scale statistical analysis supports the metrological assessment of extreme unpredictability. The method will enable definitive nonlocality experiments and secure communications without need of trusted devices.
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
International Association for Cryptologic Research (IACR)
Statistical weaknesses in 20 RC4-like algorithms and (probably) the simplest algorithm free from statistical weaknesses in 20 RC4-like algorithms including the original RC4, RC4A, PC-RC4 and others. This is achieved using a simple statistical test. We found only one algorithm which was able to pass the test
Statistics Online Computational Resource for Education
Dinov, Ivo D; Christou, Nicolas
2009-01-01
and assess- ment of the statistic online computationalintroductory probability and statistics courses. Computers &Leslie, M. (2003). Statistics starter kit. Science, © 2009
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Mohsen Pourahmadi Division of Statistics, Northern Illinois University and the Department of Statistics, The University of Chicago "Generalized
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series JONATHAN WEARE sampling methods. The talk will have a computational statistical mechanics flavor but the methods
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JON MCAULIFFE Department of Statistics University of California, Berkeley "Statistical Methods for Genome Comparison" WEDNESDAY February
Physical and Statistical Models in Deformation Geodesy
Lipovsky, Brad
2011-01-01
2008), Mississippi Delta subsidence primarily caused bySultan (2009), Land subsidence in the nile delta: inferences2006), Space geodesy: Subsidence and ?ooding in New Orleans,
Inferring the gravitational potential of the Milky Way with a few precisely measured stars
Price-Whelan, Adrian M.; Johnston, Kathryn V.; Hendel, David [Department of Astronomy, Columbia University, 550 West 120th Street, New York, NY 10027 (United States); Hogg, David W., E-mail: adrn@astro.columbia.edu [Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States)
2014-10-10
The dark matter halo of the Milky Way is expected to be triaxial and filled with substructure. It is hoped that streams or shells of stars produced by tidal disruption of stellar systems will provide precise measures of the gravitational potential to test these predictions. We develop a method for inferring the Galactic potential with tidal streams based on the idea that the stream stars were once close in phase space. Our method can flexibly adapt to any form for the Galactic potential: it works in phase-space rather than action-space and hence relies neither on our ability to derive actions nor on the integrability of the potential. Our model is probabilistic, with a likelihood function and priors on the parameters. The method can properly account for finite observational uncertainties and missing data dimensions. We test our method on synthetic data sets generated from N-body simulations of satellite disruption in a static, multi-component Milky Way, including a triaxial dark matter halo with observational uncertainties chosen to mimic current and near-future surveys of various stars. We find that with just eight well-measured stream stars, we can infer properties of a triaxial potential with precisions of the order of 5%-7%. Without proper motions, we obtain 10% constraints on most potential parameters and precisions around 5%-10% for recovering missing phase-space coordinates. These results are encouraging for the goal of using flexible, time-dependent potential models combined with larger data sets to unravel the detailed shape of the dark matter distribution around the Milky Way.
International petroleum statistics report
1997-07-01
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
1995-07-27
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and 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.
International petroleum statistics report
1995-11-01
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.
International petroleum statistics report
1996-10-01
The International Petroleum Statistics 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 twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
International petroleum statistics report
1996-05-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.
Statistics as a dynamical attractor
Michail Zak
2012-08-30
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.
Statistical mechanics of the cytoskeleton
Wang, Shenshen
2012-01-01
mechanics . . . . . . . . . . . . . . . . . . . . . . 2.1bottom-up approach to cell mechanics. Nat. Phys. [6] Fabry,Wolynes, P. G. Statistical mechanics of a cat’s cradle. New
Childress, Michael J.
of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms is applied regularly in ecological, evolutionary, and behavioral re- search. In addition to fundamental in which all predictor variables were entered simultaneously. These analyses clearly demonstrate
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ALEKH AGARWAL Electrical Engineering and Computer Science University of California Berkeley Computation Meet Statistics: Trade that provide complementary lines of attack on this broader research agenda: (i) lower bounds for statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series TONG ZHANG Department of Statistics Rutgers University High Dimensional Statistical Analysis for Complex Sparse Estimation Problems the seminar in Eckhart 110. ABSTRACT This talk presents theoretical results for high dimensional statistical
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series ANDREW GELMAN Departments of Statistics and Political Science Columbia University Parameterization and Bayesian Modeling THURSDAY and location. ABSTRACT Progress in statistical computation often leads to advances in statistical modeling
Department: Statistics Course No: STAT 261Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 261Q Title: Statistical Computing Credits: 3 Contact : Dipak. Recommended preparation: An applied statistics course. Open only with consent of instructor. Introduction to computing for statistical problems; obtaining features of distributions, fitting models and implementing
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series MONTSERRAT FUENTES Department of Statistics North Carolina State University Nonparametric Spatial Models for Extremes events at different locations. Although the tools for statistical modeling of univariate extremes
APS Operational Statistics for FY 2015
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
5 Operational Statistics Back to Main Statistics Page FY 2015 Year-to-Date Statistics 2015 Statistics Summary HTML or PDF FY 2015 Reliability Summary HTML or PDF FY 2015 Bar Chart...
Ordering Broken Unit Tests for Focused Debugging Markus Galli, Michele Lanza, Oscar Nierstrasz
Lanza, Michele
Ordering Broken Unit Tests for Focused Debugging Markus G¨alli, Michele Lanza, Oscar Nierstrasz unit test frameworks present broken unit tests in an arbitrary order, but developers want to focus on the most specific ones first. We have therefore inferred a partial or- der of unit tests corresponding
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Hira L. Koul Department of Statistics). Statistical methods for data with long-range dependence. (With discussion). Statist. Sci. 7, 404-427. Beran, J. (1994). Statistics for Long-Memory Processes. Monographs on Statistics and Applied Probab., 61. Chapman
Statistical Analysis of Semiparametric Models in Accelerated Life Testing
: Accelerated life models, additive accumulation of damages, generalized proportional hazards, semiparametrictofailure of items under the stress x(\\Delta) is deřned by a nonnegative absolutely continuous random variable T x models with random covariates. The proportion F x(\\Delta) (t) of items from\\Omega which fail until
Statistical testing and estimation in continuous time interest rate models
Kim, Myung Suk
2006-10-30
The shape of drift function in continuous time interest rate models has been investigated by many authors during the past decade. The main concerns have been whether the drift function is linear or nonlinear, but no convincing conclusions have been...
COMPARATIVE STATISTICAL ANALYSIS OF TEST PARTS MANUFACTURED IN PRODUCTION
Gilsinn, David E.
center machine tool errors was developed. Uncertainty estimates of the errors in the working volume were Measuring Machine ISO International Organization for Standardization LBB Laser Ball Bar NC Numerical ............................................................................................................ 10 3.3 Measuring the Vertical Machining Center
MantelHaenszel Test Statistics for Correlated Binary Data
Boos, Dennis
such as the clinical centers. We will illustrate this by the following two examples. Example 1. A psoriasis multicenter of psoriasis. In each of the sixteen centers, patients were randomly assigned to one of the two treatments
Math 1530: Applied Statistics Review for Test 1
Hong, Don
; percentile; z-score; probability 2. Plots: bar chart; Pareto (pie) chart; histogram; stemplot; time plot. Computations: section degree of pie chart (f n · 360o ); mean (X = X n , µ = X N , X = f·Xk n ); me- dian
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConference Tight09/2011
MATHEMATICS & STATISTICS Program of Study
Thomas, Andrew
MATHEMATICS & STATISTICS Program of Study Degree Requirements The Department offers a program leading to the degree of Master of Arts in Mathematics. The program outlined below offers the student three "pathways" or tracks for advanced study in mathematics: pure, interdisciplinary, and statistics
Frequentist-Bayes Goodness-of-fit Tests
Wang, Qi
2012-10-19
In this dissertation, the classical problems of testing goodness-of-fit of uniformity and parametric families are reconsidered. A new omnibus test for these problems is proposed and investigated. The new test statistics ...
Inferring black hole charge from backscattered electromagnetic radiation
Luís C. B. Crispino; Sam R. Dolan; Atsushi Higuchi; Ednilton S. de Oliveira
2014-09-16
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.
Automatic Bayesian inference for LISA data analysis strategies
Alexander Stroeer; Jonathan Gair; Alberto Vecchio
2006-09-04
We demonstrate the use of automatic Bayesian inference for the analysis of LISA data sets. In particular we describe a new automatic Reversible Jump Markov Chain Monte Carlo method to evaluate the posterior probability density functions of the a priori unknown number of parameters that describe the gravitational wave signals present in the data. We apply the algorithm to a simulated LISA data set containing overlapping signals from white dwarf binary systems (DWD) and to a separate data set containing a signal from an extreme mass ratio inspiral (EMRI). We demonstrate that the approach works well in both cases and can be regarded as a viable approach to tackle LISA data analysis challenges.
On the statistics of the gravitational field
A. Del Popolo
2001-10-26
In this paper we extend Chandrasekhar and von Neumann's analysis of the statistics of the gravitational field to systems in which particles (e.g. stars, galaxies) are not homogeneously distributed. We derive a distribution function W(F,d F/dt) giving the joint probability that a test particle is subject to a force F and an associated rate of change of F given by d F/dt. We calculate the first moment of d F/dt to study the effects of inhomogenity on dynamical friction.
Measuring missing heritability: Inferring the contribution of common variants
Golan, David
Genome-wide association studies (GWASs), also called common variant association studies (CVASs), have uncovered thousands of genetic variants associated with hundreds of diseases. However, the variants that reach statistical ...
Walter Del Pozzo; John Veitch; Alberto Vecchio
2011-01-07
Second generation interferometric gravitational wave detectors, such as Advanced LIGO and Advanced Virgo, are expected to begin operation by 2015. Such instruments plan to reach sensitivities that will offer the unique possibility to test General Relativity in the dynamical, strong field regime and investigate departures from its predictions, in particular using the signal from coalescing binary systems. We introduce a statistical framework based on Bayesian model selection in which the Bayes factor between two competing hypotheses measures which theory is favored by the data. Probability density functions of the model parameters are then used to quantify the inference on individual parameters. We also develop a method to combine the information coming from multiple independent observations of gravitational waves, and show how much stronger inference could be. As an introduction and illustration of this framework - and a practical numerical implementation through the Monte Carlo integration technique of nested sampling - we apply it to gravitational waves from the inspiral phase of coalescing binary systems as predicted by General Relativity and a very simple alternative theory in which the graviton has a non-zero mass. This method can trivially (and should) be extended to more realistic and physically motivated theories.
SHARE: Statistical Hadronization with Resonances
Giorgio Torrieri; Steve Steinke; Wojciech Broniowski; Wojciech Florkowski; Jean Letessier; Johann Rafelski
2004-07-22
SHARE is a collection of programs designed for the statistical analysis of particle production in relativistic heavy-ion collisions. With the physical input of intensive statistical parameters, it generates the ratios of particle abundances. The program includes cascade decays of all confirmed resonances from the Particle Data Tables. The complete treatment of these resonances has been known to be a crucial factor behind the success of the statistical approach. An optional feature implemented is a Breit--Wigner type distribution for strong resonances. An interface for fitting the parameters of the model to the experimental data is provided.
Key China Energy Statistics 2012
Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia
2012-05-01
The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.
Key China Energy Statistics 2011
Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia
2012-01-15
The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.
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
2015-01-01
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...
Quantum particles from classical statistics
C. Wetterich
2010-02-11
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 AND FIELD THEORY
Samuel, S.A.
2010-01-01
1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of
Dave
2012-03-25
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks
Hart, Christopher E; Mjolsness, Eric; Wold, Barbara J
2006-01-01
Issue 12 | e169 Neural Network Model of Yeast Transcription27. Bishop C (1995) Neural networks for pattern recognition.Network: Inferences from Neural Networks Christopher E. Hart
Inferring User Interests from Tweet Times Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu Madhow
Madhow, Upamanyu
Inferring User Interests from Tweet Times Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu Madhow Electrical and Computer Engineering Department University of California Santa Barbara {dineshr, sriram
Reference set of regulons in Desulfovibrionales inferred by comparative genomics approach
Kazakov, A.E.
2011-01-01
inferred by comparative genomics approach 1 Lawrenceout large-scale comparative genomics analysis of regulatoryEnvironmental Research, Genomics:GTL Foundational Science
Intermediate wave-function statistics
G. Berkolaiko; J. P. Keating; B. Winn
2003-08-05
We calculate statistical properties of the eigenfunctions of two quantum systems that exhibit intermediate spectral statistics: star graphs and Seba billiards. First, we show that these eigenfunctions are not quantum ergodic, and calculate the corresponding limit distribution. Second, we find that they can be strongly scarred by short periodic orbits, and construct sequences of states which have such a limit. Our results are illustrated by numerical computations.
Anyonic statistics with continuous variables
Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock
2008-10-30
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.
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
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS
Oxford, University of
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS 2014. Sources of advice and help 33 5. Departmental Facilities 35 #12;2 MSc/ DIPLOMA IN APPLIED STATISTICS 2014/2015 We welcome you to the Department of Statistics and our MSc programme in Applied Statistics
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
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 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
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
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
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
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
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 )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
Computationally efficient algorithms for statistical image processing. Implementation in R
Langovoy, Mikhail A
2011-01-01
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.
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
Examining Statistics of Workflow Evolution Provenance: A First Study
Freire, Juliana
Examining Statistics of Workflow Evolution Provenance: A First Study Lauro Lins, David Koop, Erik W techniques and try different parameter values, as she formulates and test hypotheses. The maintenance and result reproducibility. Notably, it supports several operations that facilitate exploration, including
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01
the primary energy production and consumption statistics areProduction Hydroelectricity Primary Consumption J.E.Sinton, China’s Energy StatisticsStatistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Matthew Stephens Department of Statistics, University of Washington "Exploring Heterogeneity in Recombination Rates Across the Genome. In this talk I describe a statistical method that comes some way towards addressing these deficiencies
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JUN LIU Department of Statistics with classification problems. I will also discuss the issue of statistical significance in this situation Please send
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Tiefeng JIANG School of Statistics). A history from 1914 to 2003 of the problem from Mechanics, Statistics and Imagine Analysis will also
APS Operational Statistics for FY 2009
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2009 Year-to-Date Statistics 2009 Statistics Summary HTML or PDF FY 2009 Reliability Summary HTML or PDF FY 2009 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2008
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2008 Year-to-Date Statistics 2008 Statistics Summary HTML or PDF FY 2008 Reliability Summary HTML or PDF FY 2008 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2014
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2014 Year-to-Date Statistics 2014 Statistics Summary HTML or PDF FY 2014 Reliability Summary HTML or PDF FY 2014 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2005
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005 Reliability Summary HTML or PDF FY 2005 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2007
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2007 Year-to-Date Statistics 2007 Statistics Summary HTML or PDF FY 2007 Reliability Summary HTML or PDF FY 2007 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2012
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2012 Year-to-Date Statistics 2012 Statistics Summary HTML or PDF FY 2012 Reliability Summary HTML or PDF FY 2012 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2006
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2006 Year-to-Date Statistics 2006 Statistics Summary HTML or PDF FY 2006 Reliability Summary HTML or PDF FY 2006 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2010
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2010 Year-to-Date Statistics 2010 Statistics Summary HTML or PDF FY 2010 Reliability Summary HTML or PDF FY 2010 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2013
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2013 Year-to-Date Statistics 2013 Statistics Summary HTML or PDF FY 2013 Reliability Summary HTML or PDF FY 2013 Bar Chart of Downtime by System...
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
NOTE Communicated by Thomas Dietterich Combined 5 2 cv F Test for Comparing Supervised
Alpaydýn, Ethem
on the training set, and test them on the test set. We define a statistic computed from the errors of the twoNOTE Communicated by Thomas Dietterich Combined 5 × 2 cv F Test for Comparing Supervised statistical tests and proposes the 5 × 2 cv t test for determining whether there is a significant difference
Balasuriya, Sanjeeva
MyUni Tests Tests.............................................................................................................................................. 2 Test question types.................................................................................................................... 2 Create a test
5.72 Statistical Mechanics, Spring 2008
Cao, Jianshu
This course discusses the principles and methods of statistical mechanics. Topics covered include classical and quantum statistics, grand ensembles, fluctuations, molecular distribution functions, other concepts in equilibrium ...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ANDREW C. THOMAS Department of Statistics Harvard University Uncertainties in Network Analysis Due to the Thresholding Problem WEDNESDAY
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ARNAUD DOUCET Departments of Computer Science and Statistics University of British Columbia The Expected Auxiliary Variable Method
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAG TJOSTHEIM Department of Statistics University of Bergen, Norway Gaussian Local Likelihood and Local Correlation MONDAY, April 28
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUN S. SONG Departments of Electrical Engineering and Computer Sciences, and Statistics University of California, Berkeley A Universal
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series HELENE MASSAM Department of Mathematics and Statistics York University, Toronto, Canada "Two New Families of Conjugate Priors
ORISE: Statistical Analyses of Worker Health
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...
Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks
Babu, M. Madan
Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks Jing of bioinformatics the use of network inference algorithms to predict causal models of molecular networks from correlational data. However, it is extremely difficult to evaluate the effectiveness of these algorithms because
Wolfe, Patrick J.
Motivation Modelling the CMD Making Inference Results Conclusion Ages of stellar populations from Baines 093008 #12;Motivation Modelling the CMD Making Inference Results Conclusion Context & Example) guide to the Astronomy behind it. Paul Baines 093008 #12;#12;Motivation Modelling the CMD Making
Inferring and Visualizing Social Networks on Internet Relay Chat Paul Mutton
Kent, University of
describes a method of inferring the social network of a group of IRC users in a channel. An IRC bot is used. Keywords: inferring social networks, visualization, animation, irc bot, heuristics, internet relay chat to communicate in real-time across the world. An IRC network consists of a set of servers that people can use
Header and Unit Inference for Spreadsheets Through Spatial Analyses Robin Abraham and Martin Erwig
Erwig, Martin
Header and Unit Inference for Spreadsheets Through Spatial Analyses Robin Abraham and Martin Erwig [abraharo|erwig]@cs.orst.edu Abstract This paper describes the design and implementation of a unit and header inference system for spreadsheets. The system is based on a formal model of units that we have de
Module Network Inference from a Cancer Gene Expression Data Set Identifies MicroRNA Regulated
Gent, Universiteit
Module Network Inference from a Cancer Gene Expression Data Set Identifies MicroRNA Regulated Modules Eric Bonnet1,2 , Marianthi Tatari3,4 , Anagha Joshi1,2 , Tom Michoel1,2 , Kathleen Marchal5RNAs in complex regulatory networks is not straightforward. Systems approaches, like the inference of a module
Variational Inference for Stick-Breaking Beta Process Priors John Paisley1
Carin, Lawrence
Variational Inference for Stick-Breaking Beta Process Priors John Paisley1 jpaisley-parameter IBP, and does not extend to the beta process presented in (Hjort, 1990). Recently, Paisley et al., 2007); we discuss this difference in Sec- tion 4. Paisley et al. (2010) presented an inference
Aalborg Universitet Modeling of a HTPEM Fuel Cell using Adaptive NeuroFuzzy Inference Systems
Berning, Torsten
Aalborg Universitet Modeling of a HTPEM Fuel Cell using Adaptive NeuroFuzzy Inference Systems of a HTPEM Fuel Cell using Adaptive Neuro Fuzzy Inference Systems. Poster session presented at 4th CARISMA from vbn.aau.dk on: juli 05, 2015 #12;Introduction HTPEM fuel cells can with great benefit be used
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
STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)
Gelman, Andrew
1999-01-01
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 speci˙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
Statistical Mechanics of Black Holes
B. Harms; Y. Leblanc
1992-05-11
We analyze the statistical mechanics of a gas of neutral and charged black holes. The microcanonical ensemble is the only possible approach to this system, and the equilibrium configuration is the one for which most of the energy is carried by a single black hole. Schwarzschild black holes are found to obey the statistical bootstrap condition. In all cases, the microcanonical temperature is identical to the Hawking temperature of the most massive black hole in the gas. U(1) charges in general break the bootstrap property. The problems of black hole decay and of quantum coherence are also addressed.
Noise, sign problems, and statistics
Michael G. Endres; David B. Kaplan; Jong-Wan Lee; Amy N. Nicholson
2011-06-01
We show how sign problems in simulations of many-body systems can manifest themselves in the form of heavy-tailed correlator distributions, similar to what is seen in electron propagation through disordered media. We propose an alternative statistical approach for extracting ground state energies in such systems, illustrating the method with a toy model and with lattice data for unitary fermions.
Statistical mechanics of the vacuum
Christian Beck
2012-03-01
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.
QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES
G. GEIGER; ET AL
2000-11-01
The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.
Gauge Invariance and Fractional Statistics
A. R. P. Lima; R. R. Landim
2006-10-04
We present a new $(2+1)$-dimensional field theory showing exotic statistics and fractional spin. This theory is achieved through a redefinition of the gauge field $A_{\\mu}$. New properties are found. Another way to implement the field redefinition is used with the same results obtained.
2004-01-26
Jan 26, 2004 ... 597–632, Springer, Berlin, Berlin 2003. [19] Mark Stefik, Inferring DNA structures from segmentation data, Artificial Intelligence 11 (1978), 85–.
hp calculators HP 50g Hypothesis tests Real Estate
Vetter, Frederick J.
hp calculators HP 50g Hypothesis tests Real Estate The STAT menu Hypothesis tests Practice evaluating hypothesis tests Real Estate #12;hp calculators HP 50g Hypothesis tests Real Estate hp calculators - 2 - HP 50g Hypothesis tests Real Estate The STAT menu The Statistics menu is accessed from
Statistics and Philosophy Mathematical models and reality
Hennig, Christian
Statistics and Philosophy Mathematical models and reality Frequentist probabilities The Bayes-frequentist controversy Cluster analysis and truth Model Assumptions and Truth in Statistics Christian Hennig 4 February 2015 Christian Hennig Model Assumptions and Truth in Statistics #12;Statistics and Philosophy
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Marianthi Markatou Department of Statistics, Columbia University "Statistical Model Assessment and Model Choice" Monday, April 22, 2002 at 4 of statistical models is to provide a concise description of the aspects of the data judged relevant
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VICTOR PANARETOS Department of Statistics University of California, Berkeley On the Statistical Inversion of a Stochastic Radon Transform, thus posing a va- riety of statistical problems. We formulate and study such a problem, one
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Tailen Hsing Department of Statistics" ************************* Monday, February 4, 2002 at 4:00 pm 133 Eckhart Hall, 5734 S. University Avenue ABSTRACT A generalized U-statistic, n2, Kn1,n2 is a symmetric measurable func- tion. A large class of statistics can be expressed
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium JACOB BIEN Department of Statistics Stanford University Sparse Hierarchical Interactions MONDAY, January 23, 2012, at 4:00 PM 133. This makes it easier to study as a statistical estimator. We argue that restricting to hierarchical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium LISA LENDWAY Department of Statistics University of Minnesota Using the Bootstrap to Teach Confidence Intervals in an Introductory Statistics Course THURSDAY, February 2, 2012, at 12:00 PM 110 Eckhart Hall, 5734 S. University Avenue
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
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 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
Department: Statistics Course No: STAT 220Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 220Q Title: Statistical Methods Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : STAT 220Q. Statistical Methods (Calculus Level) Either semester. Three design, non-parametric procedures. Course Information : A. This course offers instruction in statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series BIN YU Department of Statistics University of California, Berkeley "Embracing Statistical Challenges in the Information Technology Age in most if not all fields of science and engineering and beyond. Statistics as a scientific discipline
Department: Statistics Course No: STAT 110Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 110Q Title: Elementary Concepts of Statistics Credits: 4 restrictions above. Standard and nonparametric approaches to statistical analysis; exploratory data analysis-sample procedures, regression and correlation. Learning to do statistical analysis on a personal computer
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
STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES
Fletcher, Robin
1 STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES Introduction to Data Analysis Exploring Data Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies) Statistics notes and related articles published in British Medical Journal Statistical literacy HyperStat Online Statistics Textbook Electronic
Department: Statistics Course No: STAT 201Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 201Q Title: Introduction to Statistics II Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : 201Q. Introduction to Statistics II Either semester. Three credits of no calculus background the ideas and methods of statistics beyond the initial introduction given in STAT100
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 1952 .^Ł^ 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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DEBASHIS MONDAL Department of Statistics University of Chicago Gaussian Random Fields and Spatial Statistics MONDAY, April 12, 2010, at 4. ABSTRACT In recent decades, there has been much progress and interest in spatial statistics
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ROBERT GROSSMAN Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago Building Statistical Models where the data is stored. Most software to compute statistical and data mining models assumes
Department: Statistics Course No: STAT 243Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 243Q Title: Design of Experiments Credits: 3 Contact : Dipak statistical software to analize data sets based on the statistical methods developed in this course. B. Two and problem assignments from the textbook. C. Analysis of variance statistical models are the major theme
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
Department: Statistics Course No: STAT 100Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 100Q Title: Introduction to Statistics Credits: 4 Contact above. A standard approach to statistical analysis primarily for students of business and economics and correlation, exploratory data analysis. Learning to do statistical analysis on a personal computer
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series SONJA PETROVIC Department of Statistics Pennsylvania State University Algebraic Statistics for Random Graph Models MONDAY, August 8, 2011, at 4:00 PM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Algebraic statistics has flourished
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium SEBASTIEN ROCH Department. An important issue in this context is the fundamental trade-off between statistical accuracy and computational how this probabilistic perspective produces a finer theoretical understanding of the statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YALI AMIT Departments of Statistics and Computer Science The University of Chicago Statistical Models in Computer Vision MONDAY of configurations. I will present an approach which starts from simple statistical models for individual objects
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series PATRICK J. WOLFE Department of Statistics Harvard University Modeling Network Data MONDAY, October 10, 2011, at 4:00 PM 133 Networks are fast becoming a primary object of interest in statistical data analysis, with important
Statistical Signal Processing Debasis Kundu 1
Kundu, Debasis
Statistical Signal Processing Debasis Kundu 1 Signal processing may broadly be considered, statistical techniques play an important role in signal processing. Statistics is used in the formulation for estimation of model parameters, and the assessment of model performances. Statistical Signal Processing
LIDIA REJTO Statistics Program, Department of FREC
RejtĂµ, LĂdia
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
Statistics and Discoveries at the LHC (1/4)
None
2011-10-06
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
2011-10-06
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
2011-10-06
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 (3/4)
None
2011-10-06
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.
Inferring Magnetospheric Heavy Ion Density using EMIC Waves
Kim, Eun-Hwa; Johnson, Jay R.; Kim, Hyomin; Lee, Dong-Hun
2014-05-01
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.
Inferring Planet Mass from Spiral Structures in Protoplanetary Disks
Fung, Jeffrey
2015-01-01
Recent observations of protoplanetary disk have reported spiral structures that are potential signatures of embedded planets, and modeling efforts have shown that a single planet can excite multiple spiral arms, in contrast to conventional disk-planet interaction theory. Using two and three-dimensional hydrodynamics simulations to perform a systematic parameter survey, we confirm the existence of multiple spiral arms in disks with a single planet, and discover a scaling relation between the azimuthal separation of the primary and secondary arm, $\\phi_{\\rm sep}$, and the planet-to-star mass ratio $q$: $\\phi_{\\rm sep} = 102^{\\circ} (q/0.001)^{0.2}$ for companions between Neptune mass and 16 Jupiter masses around a 1 solar mass star, and $\\phi_{\\rm sep} = 180^{\\circ}$ for brown dwarf mass companions. This relation is independent of the disk's temperature, and can be used to infer a planet's mass to within an accuracy of about 30% given only the morphology of a face-on disk. Combining hydrodynamics and Monte-Carl...
Statistical Signatures of Panspermia in Exoplanet Surveys
Lin, Henry W
2015-01-01
A fundamental astrobiological question is whether life arose spontaneously on earth or was transported here from an extrasolar system. We propose a new strategy to answer this question based on the principle that life which arose via spreading will exhibit more clustering than life which arose spontaneously. We develop simple statistical models of panspermia to illustrate observable consequences of these excess correlations. Future searches for biosignatures in the atmospheres of exoplanets could test these predictions: panspermia predicts large regions in the Milky Way where life saturates its environment interspersed with voids where life is very uncommon. In a favorable scenario, detection of as few as $\\sim 25$ biologically active exoplanets could yield a $5\\sigma$ detection of panspermia.
Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M.; Ray, J. P.
2006-01-01
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.
Andrews, Edward Mensah
1994-01-01
This study examines statistically the repeatability of the International Slurry Surfacing Association (ISSA) mixture design tests by estimating the h and k consistency statistics for the test results obtained. An idea of ...
Predicting and Optimizing System Utilization and Performance via Statistical Machine Learning
Ganapathi, Archana
2009-01-01
61 test set queries, using SQL text statistics to constructProgress Of Execution For SQL Queries. In SIGMOD ’04: Pro-We Trust Progress Estimators For SQL Queries? In SIGMOD ’05:
Bayesian Inference in Probabilistic Risk Assessment -- The Current State of the Art
Dana L. Kelly; Curtis L. Smith
2009-02-01
Markov chain Monte Carlo approaches to sampling directly from the joint posterior distribution of aleatory model parameters have led to tremendous advances in Bayesian inference capability in a wide variety of fields, including probabilistic risk analysis. The advent of freely available software coupled with inexpensive computing power has catalyzed this advance. This paper examines where the risk assessment community is with respect to implementing modern computational-based Bayesian approaches to inference. Through a series of examples in different topical areas, it introduces salient concepts and illustrates the practical application of Bayesian inference via Markov chain Monte Carlo sampling to a variety of important problems.
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics
Frey, Jesse C.
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics from their statistical knowledge and demonstrate their expertise in statistics beyond the undergraduate level. Program in programs that utilize statistics. Admission Requirements Applicants must submit an application, a statement
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
Statistically significant relational data mining :
Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.
2014-02-01
This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.
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
The halo-model description of marked statistics
Ravi K. Sheth
2005-11-28
Marked statistics allow sensitive tests of how galaxy properties correlate with environment, as well as of how correlations between galaxy properties are affected by environment. A halo-model description of marked correlations is developed, which incorporates the effects which arise from the facts that typical galaxy marks (e.g., luminosity, color, star formation rate, stellar mass) depend on the mass of the parent halo, and that massive haloes extend to larger radii and populate denser regions. Comparison with measured marked statistics in semi-analytic galaxy formation models shows good agreement on scales smaller than a Megaparsec, and excellent agreement on larger scales. The halo-model description shows clearly that the behaviour of some low-order marked statistics on these scales encodes information about the mean galaxy mark as a function of halo mass, but is insensitive to mark-gradients within haloes. Higher-order statistics encode information about higher order moments of the distribution of marks within haloes. This information is obtained without ever having to identify haloes or clusters in the galaxy distribution. On scales smaller than a Megaparsec, the halo-model calculation shows that marked statistics allow sensitive tests of whether or not central galaxies in haloes are a special population. A prescription for including more general mark-gradients in the halo-model description is also provided. The formalism developed here is particularly well-suited to interpretation of marked statistics in astrophysical datasets, because it is phrased in the same language that is currently used to interpret more standard measures of galaxy clustering.
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
Unknown
2011-08-17
The purpose of this research was to investigate the ignition phenomena of selected polymeric materials using the Hot Wire Ignition Test. This test is prescribed by Underwriters Laboratories as one of various requirements ...
Parallel auto-correlative statistics with VTK.
Pebay, Philippe Pierre; Bennett, Janine Camille
2013-08-01
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.
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 · Peer review · Insepction/Walk-through/Structured review · Formal
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
2012-05-03
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 ...
Kirchner, James W.
Temperature dynamics of a proglacial stream: Identifying dominant energy balance components. Kirchner (2012), Temperature dynamics of a proglacial stream: Identifying dominant energy balance forefield (Switzerland), we examined how longitudinal stream temperature changes can be used to infer reach
Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks
Lin, Pey Chang K
2013-06-27
effort of modeling cell behavior, inferring biological networks, and controlling genetic diseases. Genes interact with other genes in a Gene Regulatory Network (GRN) and can be modeled as a Boolean Network (BN) or equivalently as a Finite State Machine...
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
Harris, Phillip
Phylogenetic Relationships of Major Clades of Catostomidae (Teleostei: Cypriniformes) as Inferred 35487-0345 Received September 26, 2000; revised March 15, 2001 Suckers (Family CatostomidaeRNA genes from genera representing all subfamilies and tribes within Catostomidae. Phy- logenetic analysis
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
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
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
Hainmueller, Jens
Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show how ...
Introduction Explanation, inference, testimony, and truth: essays dedicated to the memory
Chakravartty, Anjan
Introduction Explanation, inference, testimony, and truth: essays dedicated to the memory of Peter of Studies in History and Philosophy of Science is dedicated to the memory of a long-serving and most
HistFitter software framework for statistical data analysis
M. Baak; G. J. Besjes; D. Cote; A. Koutsman; J. Lorenz; D. Short
2014-10-06
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.
Masson, Jean-Baptiste; Salvatico, Charlotte; Renner, Marianne; Specht, Christian G; Triller, Antoine; Dahan, Maxime
2015-01-01
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...
Statistical Models for Globular Cluster Luminosity Distribution
Hunter, David
Statistical Models for Globular Cluster Luminosity Distribution Max Buot Donald Richards Xavier statistical models which have been proposed for luminosity distributions for the globular clusters galaxies were well fit by Gaussian distributions, subsequent investigations suggested
Statistics on pattern-avoiding permutations
Elizalde, Sergi, 1979-
2004-01-01
This thesis concerns the enumeration of pattern-avoiding permutations with respect to certain statistics. Our first result is that the joint distribution of the pair of statistics 'number of fixed points' and 'number of ...
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 problem Barycentric corrected arrival times 0 Energy, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how
|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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar D. R. Bellhouse Department of Statistical and Actuarial Sciences University of Western Ontario London, Ontario Canada N6A 5B7 "Lord Stanhope
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Noureddine El Karoui Department of Statistics Stanford University "The Tracy-Widom Law Holds When n, p, p/n , with Application to PCA" Monday
A Carto Dashboard for Distributed Statistical Data
for Statistical Data From Statistics Netherlands (CBS) - Open Data, API using ODATA standard - To be combined, different aggregation in time: same variable, different times in theme: same place and time, different
Seismic Attribute Analysis Using Higher Order Statistics
Greenidge, Janelle Candice
2009-05-15
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...
Transportation Statistics Annual Report 1997
Fenn, M.
1997-01-01
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?
On statistics of molecular chaos
Yuriy Kuzovlev
2009-11-03
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.
2008 world direct reduction statistics
NONE
2009-07-01
This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.
ARM - Historical Field Campaign 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015 Quarterly
Maximum-Entropy Inference with a Programmable Annealer
Chancellor, Nicholas; Vinci, Walter; Aeppli, Gabriel; Warburton, Paul A
2015-01-01
Optimisation problems in science and engineering typically involve finding the ground state (i.e. the minimum energy configuration) of a cost function with respect to many variables. If the variables are corrupted by noise then this approach maximises the likelihood that the solution found is correct. An alternative approach is to make use of prior statistical information about the noise in conjunction with Bayes's theorem. The maximum entropy solution to the problem then takes the form of a Boltzmann distribution over the ground and excited states of the cost function. Here we use a programmable Josephson junction array for the information decoding problem which we simulate as a random Ising model in a field. We show experimentally that maximum entropy decoding at finite temperature can in certain cases give competitive and even slightly better bit-error-rates than the maximum likelihood approach at zero temperature, confirming that useful information can be extracted from the excited states of the annealing...
Purdue VIGRE REU in Mathematics and Statistics
Research Experience for Undergraduates. at the. Departments of Mathematics and Statistics Purdue Univeristy, West Lafayette, Indiana Summer 2003.
Statistical Methods Handbook for Advanced Gas Reactor Fuel Materials
J. J. Einerson
2005-05-01
Fuel materials such as kernels, coated particles, and compacts are being manufactured for experiments simulating service in the next generation of high temperature gas reactors. These must meet predefined acceptance specifications. Many tests are performed for quality assurance, and many of these correspond to criteria that must be met with specified confidence, based on random samples. This report describes the statistical methods to be used. The properties of the tests are discussed, including the risk of false acceptance, the risk of false rejection, and the assumption of normality. Methods for calculating sample sizes are also described.
STORM: A STatistical Object Representation Model
Rafanelli, M. ); Shoshani, A. )
1989-11-01
In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS
Bertsimas, Dimitris
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS DIIIMMMIIITTTRRRIIISSS BEEERRRTTTSSSIIIMMMAAASSS Sloan@nus.edu.sg In this article, we study the problem of finding tight bounds on the expected value of the kth-order statistic E of the highest-order statistic E @Xn:n# can be computed with a bisection search algo- rithm+ An extremal discrete
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series SOURAV CHATTERJEE Department of Statistics University of California, Berkeley "Some extensions of Stein's method" MONDAY, February 20, 2006 dependence models of statistical physics and combinatorics will be worked out. Please send email to Mathias
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAVID VAN DYK Department of Statistics University of California, Irvine "Highly Structured Models in High Energy Astrophysics" MONDAY in Eckhart 110. ABSTRACT In recent years, an important new trend has been growing in applied statistics
Department: Statistics Course No: STAT 242Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 242Q Title: Analysis of Experiments Credits: 3 Contact Information : A. The objective of this course is to introduce students to statistical data analysis using will obtain hands-on experience with analyzing data usign statistical models, such as regression and analysis
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series REGINA LIU Department of Statistics Rutgers, The State University of New Jersey Mining and Tracking Massive Text Data MONDAY, April 9 datasets to discover useful features and develop tracking statistics (often referred to as performance
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE Limited Term Position The Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University invites, 2016. Applicants should hold a PhD (or a nearly completed PhD) in Mathematics or Statistics
Department: Statistics Course number: STAT 202W
Alpay, S. Pamir
Department: Statistics Course number: STAT 202W Title: Undergraduate Seminar II Credits: 1 Contact, and choose one statistical topic to investigate in detail. The student will write a well revised will attend 6-8 seminars per semester, and choose one statistical topic to investigate in detail. The student
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series NANCY R. ZHANG Department of Statistics Stanford University Simultaneous Scans of Multiple Sequences for Shared Variant Intervals MONDAY in Eckhart 110. ABSTRACT We examine the statistical problem of simultaneous detection in multiple sequences
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MARC HALLIN UniversitÂ´e libre de the seminar in Eckhart 110. ABSTRACT The modern history of ranks in statistics started in 1945 with Frank, Lehmann, Hajek, and Le Cam, rank-based methods have followed the devel- opment of contemporary statistics
Department: Statistics Course No: STAT 272Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 272Q Title: Introduction to Biostatistics Credits: 3 Contact-analysis. Course Information : A. The goal is to introduce the students to the modern statistical methods in modeling analysis of data in biological and medical sciences. Teach the students the use of statistical
WhartonDepartment of Statistics Data Mining
Stine, Robert A.
WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? Â· An insult? Â· Predictive modeling Â· Large, wide data sets, often unstructuredDepartment of Statistics Plan Â· Week 1 Â· Data mining with regression, logistic regression Â· Illustrate key ideas
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series GILLES BLANCHARD Associate researcher, Fraunhofer FIRST (IDA) "Statistical Performance of Support Vector Machines" MONDAY, January 29 in Eckhart 110. ABSTRACT I will present a contribution to the statistical analysis of Support Vector Machines
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VENKAT CHANDRASEKARAN Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Statistical Modeling over is motivated by the following question: Suppose we have sample statistics of only a subset of a collection
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MURAD S. TAQQU Department of Mathematics and Statistics Boston University Self-Similarity and Computer Network Traffic MONDAY, November 8 in Eckhart 110. ABSTRACT Ethernet local area network traffic appears to be approximately statistically self
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 "I don't know where I'm gonna go when the volcano blows of mathematical computer modeling, statistical modeling of geophysical data, and extreme-event probability
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAN NICOLAE Department of Statistics The University of Chicago "Quantifying Correlation with Applications to Genome-Wide Association of the statistical issues involved including the need for multi-locus analyses and allowing for environmental risk
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MATHIAS DRTON Department of Statistics The University of Chicago "Algebraic Factor Analysis: Tetrads, Pentads and Beyond" MONDAY, January in Eckhart 110. ABSTRACT Abstract: Factor analysis refers to a statistical model in which observed variables
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series WEI BIAO WU Department of Statistics The University of Chicago "What is dependence?" MONDAY, March 27, 2006 at 4:00 PM 133 Eckhart Hall of random processes, dependence is the rule rather than the exception. To facilitate the related statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YING NIAN WU Department of Statistics University of California at Los Angeles "Scale in Natural Scene Image Understanding" MONDAY textures that are often summarized by feature statistics. Although these two classes of patterns appear
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Linda B. Collins Department of Statistics University of Chicago "Issues in Catastrophe Excess-of-Loss Reinsurance Pricing" Monday, December distribution. We discuss the general statistical ideas behind these proprietary models and examine some