J. Berger

发表

Adaptive importance sampling in monte carlo integration

Man-Suk Oh, J. Berger, 1992 .

Calibration of ρ Values for Testing Precise Null Hypotheses

M. J. Bayarri, J. Berger, T. Sellke, 2001 .

Mixtures of g Priors for Bayesian Variable Selection

M. Clyde, J. Berger, Feng Liang, 2008 .

Density Modeling and Clustering Using Dirichlet Diffusion Trees

Radford M. Neal, M. J. Bayarri, D. Heckerman, 2003 .

Optimal predictive model selection

J. Berger, Maria M. Barbieri, 2004, math/0406464.

Likelihood Principle

R. Wolpert, J. Berger, 2022, The SAGE Encyclopedia of Research Design.

Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical Data

M. J. Bayarri, A. Kottas, J. Berger, 2009 .

Integrated likelihood methods for eliminating nuisance parameters

R. Wolpert, J. Berger, B. Liseo, 1999 .

A Robust Generalized Bayes Estimator and Confidence Region for a Multivariate Normal Mean

J. Berger, 1980 .

Could Fisher, Jeffreys and Neyman Have Agreed on Testing?

J. Berger, 2003 .

Particle Learning for Sequential Bayesian Computation

M. J. Bayarri, Nicholas G. Polson, D. Heckerman, 2010 .

Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence

J. Berger, T. Sellke, 1987 .

The Markov Modulated Poisson Process and Markov Poisson Cascade with Applications to Web Traffic Modeling

D. Heckerman, J. Berger, A. Dawid, 2002 .

Regression and Classification Using Gaussian Process Priors

A. P. Dawid, J. O. Berger, J. Berger, 2009 .

A Bayesian Approach to Ranking and Selection of Related Means with Alternatives to Analysis-of-Variance Methodology

J. Berger, J. Deely, 1988 .

Approximations and consistency of Bayes factors as model dimension grows

J. Ghosh, J. Berger, N. Mukhopadhyay, 2003 .

An exploration of aspects of Bayesian multiple testing

James G. Scott, J. Berger, 2006 .

Robust Bayesian analysis : sensitivity to the prior

J. Berger, 1990 .

Bayesian Statistics 5.

Adrian F. M. Smith, J. Berger, A. Dawid, 1998 .

[Testing Precise Hypotheses]: Rejoinder

J. Berger, Mohan Delampady, 1987 .

Statistical decision theory and related topics IV

S. Gupta, J. Berger, 1988 .

Generative or Discriminative? Getting the Best of Both Worlds

A. P. Dawid, Julia Lasserre, Michael A. West, 2007 .

Additional References in the Discussion

R. Wolpert, J. Berger, 1988 .

Simulation-Based Optimal Design

J. Bernardo, A. F. Smith, J. Berger, 1999 .

The Intrinsic Bayes Factor for Model Selection and Prediction

J. Berger, L. Pericchi, 1996 .

Expected‐posterior prior distributions for model selection

J. Berger, J. M. Pérez, 2002 .

Minimax Estimation of Location Vectors for a Wide Class of Densities

J. Berger, 1975 .

Estimating the mean function of a Gaussian process and the Stein effect

R. Wolpert, J. Berger, 1983 .

Admissible Minimax Estimation of a Multivariate Normal Mean with Arbitrary Quadratic Loss

J. Berger, 1976 .

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

James G. Scott, J. Berger, 2010, 1011.2333.

Testing Precise Hypotheses

J. Berger, Mohan Delampady, 1987 .

Computer model validation with functional output

M. J. Bayarri, J. Sacks, J. Berger, 2007, 0711.3271.

Bayesian Robustness and the Stein Effect

J. Berger, 1982 .

Minimax estimation of a multivariate normal mean under arbitrary quadratic loss

J. Berger, 1976 .

Discussion of David Freedman’s “Some Issues in the Foundations of Statistics”

J. Berger, 1995 .

Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals

A. P. Dawid, Michael A. West, James O. Berger, 2003 .

P Values for Composite Null Models

M. J. Bayarri, J. Berger, 2000 .

Integration of Multimodal Functions by Monte Carlo Importance Sampling

Man-Suk Oh, J. Berger, 1993 .

Uncertainty analysis and other inference tools for complex computer codes

James O. Berger, Jeremy E. Oakley, Marc C. Kennedy, 1998 .

Estimation of a Covariance Matrix Using the Reference Prior

J. Berger, Ruoyong Yang, 1994 .

Interpreting the stars in precise hypothesis testing

J. Berger, J. Mortera, 1991 .

Objective Bayesian Analysis of Spatially Correlated Data

J. Berger, B. Sansó, V. De Oliveira, 2001 .

Assessing Uncertainties in Traffic Simulation: A Key Component in Model Calibration and Validation

Nagui M. Rouphail, James O. Berger, M. J. Bayarri, 2004 .

A Unified Conditional Frequentist and Bayesian Test for Fixed and Sequential Simple Hypothesis Testing

L. Brown, R. Wolpert, J. Berger, 1994 .

Redefine statistical significance

Christopher D. Chambers, Felix D. Schönbrodt, Jeffrey N. Rouder, 2017, Nature Human Behaviour.

Ockham's Razor and Bayesian Analysis

James O. Berger, William H. Jefferys, J. Berger, 1992 .

The application of robust Bayesian analysis to hypothesis testing and Occam's Razor

J. Berger, W. Jefferys, 1992 .

Statistical Decision Theory and Bayesian Analysis, Second Edition

James O. Berger, J. Berger, 1985 .

Robust Bayesian displays for standard inferences concerning a normal mean

J. Berger, T. Fan, 2000 .

Criteria for Bayesian model choice with application to variable selection

M. J. Bayarri, J. Berger, A. Forte, 2012, 1209.5240.

Robust Bayes and Empirical Bayes Analysis with #-Contaminated Priors

L. M. Berliner, J. Berger, L. Berliner, 2007 .

Ranges of posterior measures for priors with unimodal contaminations

J. Berger, S. Sivaganesan, 1989 .

Ranges of Posterior Probabilities for Quasiunimodal Priors with Specified Quantiles

A. O'Hagan, J. Berger, A. O’Hagan, 1988 .

Robust Bayes and Empirical Bayes Analysis with $_\epsilon$-Contaminated Priors

L. M. Berliner, J. Berger, L. Berliner, 1986 .

Choice of hierarchical priors: admissibility in estimation of normal means

J. Berger, W. Strawderman, 1996 .

Bayesian and Conditional Frequentist Testing of a Parametric Model Versus Nonparametric Alternatives

J. Berger, A. Guglielmi, 2001 .

Exact sampling for Bayesian inference : towards general purpose algorithms

J. Bernardo, A. F. Smith, J. Berger, 1998 .

Bayesian Statistics 8

A. P. Dawid, Julia Lasserre, Michael A. West, 2007 .

Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood

J. Bernardo, J. Berger, A. Dawid, 2012 .

Bayesian Analysis for the Poly-Weibull Distribution

James O. Berger, Dongchu Sun, Dongchu Sun, 1993 .

The Median Probability Model and Correlated Variables

James O. Berger, Veronika Rockova, Edward I. George, 2018, Bayesian Analysis.

The case for objective Bayesian analysis

J. Berger, 2006 .

The Variational Bayesian EM Algorithm for Incomplete Data : with Application to Scoring Graphical Model Structures

Matthew J. Beal, M. J. Bayarri, D. Heckerman, 2003 .

Expected Utility Estimation via Cross-Validation

M. J. Bayarri, D. Heckerman, J. Bernardo, 2003 .

A Bayesian Approach to Subgroup Identification

J. Berger, Xiaojing Wang, Lei-Bin Shen, 2014, Journal of biopharmaceutical statistics.

RANKING, ESTIMATION AND HYPOTHESIS TESTING IN UNBALANCED TWO-WAY ADDITIVE MODELS - A BAYESIAN APPROACH

J. Berger, D. K. Fong, 1993 .

Minimax Estimation of a Normal Mean Vector for Arbitrary Quadratic Loss and Unknown Covariance Matrix

L. Brown, G. Casella, J. Berger, 1977 .

Reference priors with partial information

Dongchu Sun, J. Berger, 1998 .

Training samples in objective Bayesian model selection

J. Berger, L. Pericchi, 2004, math/0406460.

Some Bayesian predictive approaches to model selection

J. Ghosh, J. Berger, N. Mukhopadhyay, 2005 .

THE FORMAL DEFINITION OF REFERENCE PRIORS

J. Bernardo, Dongchu Sun, J. Berger, 2009, 0904.0156.

Intrinsic Estimation

J. Berger, 2002 .

Objective priors for the bivariate normal model

Dongchu Sun, J. Berger, 2008, 0804.0987.

Three Recommendations for Improving the Use of p-Values

J. Berger, D. Benjamin, 2019, The American Statistician.

Unified Conditional Frequentist and Bayesian Testing of Composite Hypotheses

J. Berger, S. Dass, 2003 .

Unified frequentist and Bayesian testing of a precise hypothesis

T. Louis, D. Lindley, D. Hinkley, 1997 .

Exact convolution of t distributions, with applications to Bayesian inference for a normal mean with t prior distributions ∗

Tsai-Hung Fan, James O. Berger, J. Berger, 1990 .

Ordered group reference priors with application to the multinomial problem

James O. Berger, José M. Bernardo, J. Bernardo, 1992 .

Annual Review of Statistics and its Application On the Statistical Formalism of Uncertainty Quantification

Leonard A. Smith, J. Berger, 2019 .

PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES

M. J. Bayarri, Robert L. Wolpert, E. B. Pitman, 2015 .

Pooling strength amongst limited datasets using hierarchical Bayesian analysis, with application to pyroclastic density current mobility metrics

James O. Berger, Abani K. Patra, E. Bruce Pitman, 2016 .

On the prevalence of information inconsistency in normal linear models

M. J. Bayarri, J. Berger, J. Mulder, 2020 .

Posterior propriety and admissibility of hyperpriors in normal hierarchical models

James O. Berger, William Strawderman, J. Berger, 2005, math/0505605.

Lower bounds on Bayes factors for multinomial distributions, with application to chi-squared tests of fit

James O. Berger, Mohan Delampady, J. Berger, 1990 .

Robust Bayesian Hypothesis Testing in the Presence of Nuisance Parameters

Julia Mortera, James O. Berger, J. Berger, 1994 .

A Bayesian analysis of the thermal challenge problem

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2008 .

Natural induction: An objective bayesian approach

James O. Berger, Dongchu Sun, J. Bernardo, 2009 .

Bayesian Variable Selection for Random Intercept Modeling of Gaussian and non-Gaussian Data

M. J. Bayarri, D. Heckerman, J. Bernardo, 2010 .

Bayesian Nonparametric Modelling for Spatial Data Using Dirichlet Processes

A. F. M. Smith, M. J. Bayarri, D. Heckerman, 2006 .

Bayesian Methods for Analysis and Adaptive Scheduling of Exoplanet Observations

James O. Berger, Bin Liu, Thomas J. Loredo, 2011, 1108.0020.

Restricted Type II Maximum Likelihood Priors on Regression Coefficients

J. Berger, V'ictor Pena, 2017, Bayesian Analysis.

Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations.

P. Müller, J. Berger, W. Jefferys, 2012, Statistical science : a review journal of the Institute of Mathematical Statistics.

On The Justification of Default and Intrinsic Bayes Factors

James O. Berger, Luis R. Pericchi, J. Berger, 1996 .

Statistical Decision Theory and Bayesian Analysis

J. Berger, 1988 .

The intuitive idea that simple explanations are usually better than complicated ones now gets quantitative support from statistical methods

James O. Berger, William Hamilton Jefferys, J. Berger, 2016 .

Noninformative priors for inferences in exponential regression models

James O. Berger, Keying Ye, J. Berger, 1991 .

Estimating a Product of Means: Bayesian Analysis with Reference Priors

James O. Berger, José M. Bernardo, J. Bernardo, 1989 .

Non-Centered Parameterisations for Hierarchical Models and Data Augmentation

M. J. Bayarri, D. Heckerman, J. Bernardo, 2003 .

Objective Priors for Discrete Parameter Spaces

James O. Berger, Dongchu Sun, Jose M. Bernardo, 2012 .

ESTIMATION OF QUADRATIC FUNCTIONS: NONINFORMATIVE PRIORS FOR NON-CENTRALITY PARAMETERS

James O. Berger, Christian P. Robert, Anne Philippe, 1998 .

Bayesian analysis with limited communication

J. Berger, J. Mortera, 1991 .

Bayesian variable selection in high dimensional problems without assumptions on prior model probabilities

James O. Berger, Gonzalo Garcia-Donato, Miguel A. Martinez-Beneito, 2016, 1607.02993.

Objective Priors for the Multivariate Normal Model

James O. Berger, Dongchu Sun, Dongchu Sun, 2022 .

Training samples in objective Bayesian model selection

J. Berger, L. Pericchi, 2004, math/0406460.

Robust Bayesian analysis of the binomial empirical Bayes problem

James O. Berger, Siva Sivaganesan, J. Berger, 1993 .

Volcanic Hazard Assessment for an Eruption Hiatus, or Post-eruption Unrest Context: Modeling Continued Dome Collapse Hazards for Soufrière Hills Volcano

R. Wolpert, J. Berger, A. Patra, 2020, Frontiers in Earth Science.

Rejoinder to Bayesian models for sparse regression analysis of high dimensional data

D. Heckerman, J. Berger, A. Dawid, 2010 .

Book Reviews

J. Berger, D. Dey, N. Lazar, 2011 .

Parameter inference for stochastic kinetic models of bacterial gene regulation : a Bayesian approach to systems biology

A. P. Dawid, J. M. Bernardo, J. O. Berger, 2010 .

A Statistical Approach to Modeling Genomic Aberrations in Cancer Cells

M. J. Bayarri, D. Heckerman, J. Bernardo, 2003 .

STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS

James O. Berger, J. Berger, 1984 .

Statistical Decision Theory

J. Berger, 1980 .

Constrained empirical Bayes priors on regression coefficients

J. Berger, V'ictor Pena, 2017 .

Empirical Bayes Estimation of Rates in Longitudinal Studies

J. Berger, S. Hui, 1983 .

Using Statistical and Computer Models to Quantify Volcanic Hazards

James O. Berger, Abani K. Patra, E. Bruce Pitman, 2009, Technometrics.

Bayesian input in Stein estimation and a new minimax empirical Bayes estimator

James O. Berger, L. M. Berliner, J. Berger, 1984 .

Analysis of Mixture Models Using Expected Posterior Priors, with Application to Classification of Gamma Ray Bursts

James O. Berger, J. Berger, J. M. Pérez, 2001 .

Bayesian sequential reliability for Weibull and related distributions

James O. Berger, Dongchu Sun, Dongchu Sun, 1994 .

Parametric Empirical Bayes Inference: Theory and Applications: Comment

James O. Berger, J. Berger, 1983 .

Bayesian Inference for a Class of Poly-Weibull Distributions

James O. Berger, Dongchu Sun, Dongchu Sun, 1996 .

Discussion: On the Consistency of Bayes Estimates

James O. Berger, J. Berger, 1986 .

Incorporating Uncertainties into Traffic Simulators

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2007 .

Objective Bayesian Methods for Model Selection: Introduction and Comparison

James O. Berger, Luis R. Pericchi, J. Berger, 2001 .

BEHAVIOUR OF THE POSTERIOR DISTRIBUTION AND INFERENCES FOR A NORMAL MEAN WITH t PRIOR DISTRIBUTIONS

Tsai-Hung Fan, James O. Berger, J. Berger, 1992 .

Bayesian analysis of dynamic item response models in educational testing

James O. Berger, Xiaojing Wang, J. Berger, 2013, 1304.4441.

Intervals for Posttest Probabilities: A Comparison of 5 Methods

James O. Berger, Douglas Mossman, J. Berger, 2001, Medical decision making : an international journal of the Society for Medical Decision Making.

Reference Priors in a Variance Components Problem

James O. Berger, José M. Bernardo, J. Bernardo, 1992 .

Chapter 4: Consequences and Criticisms of the Likelihood Principle and the Relative Lielihood Principle

James O. Berger, Robert L. Wolpert, R. Wolpert, 1988 .

Borrowing Strength: Theory Powering Applications – A Festschrift for Lawrence D. Brown

James O. Berger, Iain M. Johnstone, I. Johnstone, 2010 .

Ockham's razor and Bayesian analysis. [statistical theory for systems evaluation]

James O. Berger, William Hamilton Jefferys, J. Berger, 1992 .

TRAINING SAMPLES IN OBJECTIVE BAYESIAN MODEL SELECTION 1

J. Berger, L. Pericchi, 2004 .

Edinburgh Research Explorer Redefine statistical significance

Felix D. Schönbrodt, Jeffrey N. Rouder, T. Cook, 2019 .

Why should clinicians care about Bayesian methods

James O. Berger, J. Berger, 2001 .

Selecting a Minimax Estimator of a Multivariate Normal Mean

James O. Berger, J. Berger, 1982 .

Objective priors for the bivariate normal model

Dongchu Sun, J. Berger, 2008, 0804.0987.

Training samples in objective Bayesian model selection

J. Berger, L. Pericchi, 2004, math/0406460.

Statistical inference and Monte Carlo algorithms

Jun S. Liu, Xiao-Li Meng, L. Wasserman, 1996 .

Optimal predictive model selection

J. Berger, Maria M. Barbieri, M. M. Barbieri, 2004, math/0406464.

The Relevance of Stopping Rules in Statistical Inference

James O. Berger, Donald A. Berry, D. Berry, 1988 .

Bayesian Analysis: A Look at Today and Thoughts of Tomorrow

James O. Berger, J. Berger, 2000 .

Comparison of Bayesian and Frequentist Multiplicity Correction for Testing Mutually Exclusive Hypotheses Under Data Dependence

J. Berger, Sean Chang, 2016, Bayesian Analysis.

A relationship between randomized manipulation and parameter independence

M. J. Bayarri, D. Heckerman, J. Bernardo, 2003 .

Invited Discussion of the paper ``Bayesian Models for Variable Selection that Incorporate Biological Information'', by Vannucci, M, and Stingo, FC

M. J. Bayarri, D. Heckerman, M. West, 2011 .

On the prevalence of information inconsistency in normal linear models

M. J. Bayarri, J. Berger, J. Mulder, 2020, TEST.

Predicting retirement patterns: prediction for a multinomial distribution with constrained parameter space

James O. Berger, Ming-Hui Chen, Ming-Hui Chen, 1993 .

PROBLEMS ON THE BAYESIAN/FREQUENTIST INTERFACE

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2002 .

Admissibility Results for Generalized Bayes Estimators of Coordinates of a Location Vector

J. Berger, 1976 .

Inadmissibility Results for the Best Invariant Estimator of Two Coordinates of a Location Vector

J. Berger, 1976 .

Discussion of the paper 'Bayesian Time Series' by Aguilar, Huerta, Prado and West

J. Bernardo, A. F. Smith, J. Berger, 1998 .

Parallel partial Gaussian process emulation for computer models with massive output

James O. Berger, Mengyang Gu, J. Berger, 2016 .

Bayesian and Frequentist Approaches to Parametric Predictive Inference

James O. Berger, A. Philip Dawid, A. F. M. Smith, 1999 .

External Bayesian analysis for computer simulators

James O. Berger, David Heckerman, A. F. M. Smith, 2010 .

Bayesian Validation of a Computer Model for Vehicle Crashworthiness

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2005 .

Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems

James O. Berger, David Heckerman, A. Philip Dawid, 2003 .

Coupling Computer Models through Linking Their Statistical Emulators

James O. Berger, Robert L. Wolpert, Ksenia N. Kyzyurova, 2018, SIAM/ASA J. Uncertain. Quantification.

Statistical Inverse Analysis for a Network Microsimulator

James O. Berger, M. J. Bayarri, German Molina, 2005, Technometrics.

Integrated Objective Bayesian Estimation and Hypothesis Testing

A. F. M. Smith, A. P. Dawid, D. Heckerman, 2011 .

The Effective Sample Size

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2014 .

An overview of robust Bayesian analysis

James O. Berger, Christian P. Robert, Larry Wasserman, 1994 .

Simulation Methods for Model Criticism and Robustness Analysis

James O. Berger, A. Philip Dawid, A. F. M. Smith, 1998 .

Noninformative Priors and Bayesian Testing for the AR(1) Model

James O. Berger, Ruo-Yong Yang, J. Berger, 1994, Econometric Theory.

Direct Bayes for Interest Parameters

A. F. M. Smith, M. J. Bayarri, D. Heckerman, 2002 .

The interplay of Bayesian and frequentist analysis

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2004 .

Default Bayes Factors for Nonnested Hypothesis Testing

Julia Mortera, James O. Berger, J. Berger, 1999 .

Statistical Analysis and the Illusion of Objectivity

James O. Berger, Donald A. Berry, D. Berry, 1988 .

Interpreting the Stars in Precise Hypothesis

J. Berger, J. Mortera, 1991 .

Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses

James O. Berger, Daniel J. Benjamin, M. J. Bayarri, 2015, Journal of mathematical psychology.

Transparent Parametrizations of Models for Potential Outcomes

M. J. Bayarri, D. Heckerman, A. F. Smith, 2021 .

Bayesian Statistics 9

M. J. Bayarri, Adrian F. M. Smith, D. Heckerman, 2011 .

Modularization in Bayesian analysis, with emphasis on analysis of computer models

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 2009 .

A Framework for Validation of Computer Models

James O. Berger, M. J. Bayarri, John A. Cafeo, 2007, Technometrics.

Semiparametric Bayesian Analysis of Selection Models

James O. Berger, Jaeyong Lee, J. Berger, 2001 .

A Bayesian Analysis of the Cepheid Distance Scale

T. G. Barnes, J. Berger, W. Jefferys, 2003, astro-ph/0303656.

Erratum: “A Bayesian Analysis of the Cepheid Distance Scale” (ApJ, 592, 539 [2003])

J. Berger, W. Jefferys, P. Mueller, 2004 .

Bayesian Model Averaging and Model Search Strategies

A. P. Dawid, James O. Berger, J. M. Bernardo, 2007 .

Statistical interpretation of the RV144 HIV vaccine efficacy trial in Thailand: a case study for statistical issues in efficacy trials.

Peter B Gilbert, Max Essex, James O Berger, 2011, The Journal of infectious diseases.

Reply to Discussion

S. Gupta, J. Berger, 1988 .

A CLASS OF MINIMAX ESTIMATORS OF A NORMAL MEAN VECTOR FOR ARBITRARY QUADRATIC LOSS AND UNKNOWN COVARIANCE MATRIX

L. R. Haff, J. Berger, 1983 .

Incoherent phylogeographic inference

Christian P Robert, Adrian E Raftery, Stephen E Fienberg, 2010, Proceedings of the National Academy of Sciences.

Overall Objective Priors

James O. Berger, Dongchu Sun, Jose M. Bernardo, 2015, 1504.02689.

Robust Gaussian stochastic process emulation

James O. Berger, Mengyang Gu, Xiaojing Wang, 2017, The Annals of Statistics.

RobustGaSP: Robust Gaussian Stochastic Process Emulation in R

James O. Berger, Mengyang Gu, Jes'us Palomo, 2018, R J..

Statistical Foundations for the Validation of Computer Models

James O. Berger, Robert G. Easterling, J. Berger, 2002 .

Objective Bayes testing of Poisson versus inflated Poisson models

M. J. Bayarri, J. Berger, G. Datta, 2008, 0805.3220.

New tools for consistency in Bayesian nonparametrics

M. J. Bayarri, J. Bernardo, J. Berger, 2003 .

Statistical decision theory and related topics V: [The fifth Purdue International Symposium on Statistical Decision Theory and Related Topics, Purdue University, June 14-19, 1992]

James O. Berger, Shanti S. Gupta, S. Gupta, 1994 .

Space–time modeling of vertical ozone profiles

J. Berger, Jaeyong Lee, 2003 .

A note on recent criticisms to Birnbaum's theorem

J. Berger, V'ictor Pena, 2017, 1711.08093.

Default Analysis of Mixture Models Using Expected Posterior Priors

James O. Berger, J. Berger, 1999 .

Robust Bayesian analysis of selection models

James O. Berger, M. J. Bayarri, Maria J. Bayarri, 1998 .

Generalized Bayes Estimators in Multivariate Problems

J. Berger, C. Srinivasan, 1978 .

Subjective Hierarchical Bayes Estimation of a Multivariate Normal Mean: On the Frequentist Interface

James O. Berger, Christian P. Robert, C. Robert, 1990 .

Bayesian analysis of the covariance matrix of a multivariate normal distribution with a new class of priors

Dongchu Sun, J. Berger, Chengyuan Song, 2020 .

Improving on Inadmissible Estimators in Continuous Exponential Families with Applications to Simultaneous Estimation of Gamma Scale Parameters

James O. Berger, J. Berger, 1980 .

Prior Information and Subjective Probability

James O. Berger, J. Berger, 1985 .

Estimating Shape Constrained Functions Using Gaussian Processes

James O. Berger, Xiaojing Wang, J. Berger, 2016, SIAM/ASA J. Uncertain. Quantification.

Bayesian stochastic computation with application to model selection and inverse problems

James O. Berger, German Molina, J. Berger, 2003 .

Some Recent Developments in Bayesian Analysis, with Astronomical Illustrations

James O. Berger, J. Berger, 1997 .

Rejoinder to Article by Berger, Bernardo, and Sun

J. Bernardo, Dongchu Sun, J. Berger, 2015, 1504.07081.

Objective Bayesian Analysis for the Multivariate Normal Model

James O. Berger, Dongchu Sun, Dongchu Sun, 2006 .

Objective Priors for the Bivariate Normal Model with Multivariate Generalizations

Dongchu Sun, J. Berger, 2006 .

Frequentist Properties of Bayesian Multiplicity Control for Multiple Testing of Normal Means

James O. Berger, Sean Chang, J. Berger, 2020, Sankhya A.

Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements

James O. Berger, Richard W. Andrews, R. W. Andrews, 1993 .

A Comparison of Testing Methodologies

James O. Berger, J. Berger, 2008 .

A Catalog of Noninformative Priors

James O. Berger, Ruo-Yong Yang, J. Berger, 1996 .

Parameter inference for stochastic kinetic models of bacterial gene regulation : a Bayesian approach to systems biology

A. P. Dawid, Michael A. West, James O. Berger, 2010 .

Confusion Over Measures of Evidence (p's) Versus Errors (α's) in Classical Statistical Testing

M. J. Bayarri, Raymond Hubbard, Thomas F. Sheehan, 2003 .

On the Statistical Formalism of Uncertainty Quantification

James O. Berger, Leonard A. Smith, J. Berger, 2019, Annual Review of Statistics and Its Application.

1. Bayesian Statistics 4

J. Q. Smith, A. F. Smith, J. Berger, 1993 .

Integrated likelihood methods for eliminating nuisance parameters

R. Wolpert, J. Berger, B. Liseo, 1999 .

Model Selection when multiple imputation is used to protect confidentiality in public use data

Jerome P. Reiter, James O. Berger, Satkartar K. Kinney, 2011, J. Priv. Confidentiality.

Statistical Decision Theory

Simon French, David Ríos Insua, D. Insua, 1980 .

Tail Minimaxity in Location Vector Problems and Its Applications

J. Berger, 1976 .

Bayesian robustness in bidimensional models: Prior independence

James O. Berger, Elías Moreno, J. Berger, 1994 .

Errata and Clarifications

R. Wolpert, J. Berger, 1988 .

Current Challenges in Bayesian Model Choice

James O. Berger, Thomas J. Loredo, Eric B. Ford, 2007 .

Simulated Sintering: Markov Chain Monte Carlo With Spaces of Varying Dimensions

Jun S. Liu, A. F. Smith, J. Berger, 2007 .

Bayesian Analysis: A Look at Today and Thoughts of Tomorrow

J. Berger, 2000 .

Redefine statistical significance

Christopher D. Chambers, Felix D. Schönbrodt, Jeffrey N. Rouder, 2017, Nature Human Behaviour.

OPTIMAL PREDICTIVE MODEL SELECTION 1

J. Berger, M. M. Barbieri, James O Berger, 2004 .

Bayesian Inference for Derivative Prices

J. Berger, A. Dawid, J. O. Berger, 2003 .

PRIORS FOR THE BIVARIATE NORMAL MODEL By

Dongchu Sun, J. Berger, 2021 .

Bayesian Model Selection and Analysis for Cepheid Star Oscillations

J. Berger, W. Jefferys, T. Barnes, 2003 .

On Truncation of Shrinkage Estimators in Simultaneous Estimation of Normal Means

J. Berger, D. Dey, 1983 .

Combining coordinates in simultaneous estimation of normal means

J. Berger, D. Dey, 1983 .

The Bayesian Approach to Discovery

James O. Berger, J. Berger, 2011 .

Objective Bayesian analysis under sequential experimentation

Dongchu Sun, J. Berger, 2008, 0805.3064.

Simultaneous Bayesian-frequentist sequential testing of nested hypotheses

James O. Berger, Yinping Wang, J. Berger, 1999 .

Posterior model probabilities via path‐based pairwise priors

James O. Berger, German Molina, J. Berger, 2005 .

Properties of unified Bayesian-frequentist tests

J. Berger, B. Boukai, Y. Wang, 1997 .

Automating Emulator Construction for Geophysical Hazard Maps

James O. Berger, Abani K. Patra, E. Bruce Pitman, 2014, SIAM/ASA J. Uncertain. Quantification.

General Admissibility and Inadmissibility Results for Estimation in a Control Problem

J. Berger, Asad Zaman, L. Berliner, 1982 .

Chapter 3: The Likelihood Principle and Generalizations

R. Wolpert, J. Berger, 1988 .

Edinburgh Research Explorer Redefine statistical significance

Felix D. Schönbrodt, Jeffrey N. Rouder, T. Cook, 2019 .

Bayesian testing of a parametric model versus non - parametric alternatives

J. Berger, J. O. Berger, 2000 .