James O. Berger

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Some Recent Developments in Bayesian Analysis, with Astronomical Illustrations

James O. Berger, J. Berger, 1997 .

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 .

Statistical Decision Theory and Bayesian Analysis, Second Edition

James O. Berger, J. Berger, 1985 .

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.

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

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

Estimating Shape Constrained Functions Using Gaussian Processes

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

Conditioning is the issue

James O. Berger, James O. Berger, 2014 .

A Comparison of Testing Methodologies

James O. Berger, J. Berger, 2008 .

The Bayesian Approach to Discovery

James O. Berger, J. Berger, 2011 .

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

James O. Berger, Sean Chang, 2016 .

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 .

Message from the Editors

James O. Berger, Max D. Gunzburger, Donald J. Estep, 2013, SIAM/ASA J. Uncertain. Quantification.

Overall Objective Priors

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

Bayesian Inference for a Class of Poly-Weibull Distributions

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

Bayesian Model Averaging and Model Search Strategies

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

Bayesian Validation of a Computer Model for Vehicle Crashworthiness

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

Objective Bayesian Analysis for the Multivariate Normal Model

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

Bayesian Analysis: A Look at Today and Thoughts of Tomorrow

James O. Berger, J. Berger, 2000 .

Special Issue on Compoter Modeling.

James O. Berger, David M. Steinberg, María Jesús Bayarri García, 2009 .

RobustGaSP: Robust Gaussian Stochastic Process Emulation in R

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

Coupling Computer Models through Linking Their Statistical Emulators

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

Objective Bayesian Methods for Model Selection: Introduction and Comparison

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

Prior-based Bayesian information criterion

James O. Berger, Surajit Ray, Ingmar Visser, 2019 .

Uncertainty analysis and other inference tools for complex computer codes

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

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.

Generative or Discriminative? Getting the Best of Both Worlds

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

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

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

Bayesian Estimation of Manufacturing Effects in a Fuel Economy Model

James O. Berger, Richard W. Andrews, M H Smith, 1993 .

The Relevance of Stopping Rules in Statistical Inference

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

Statistical Analysis and the Illusion of Objectivity

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

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

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

Ockham's Razor and Bayesian Analysis

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

Current Challenges in Bayesian Model Choice

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

Applications and Limitations of Robust Bayesian Bounds and Type II MLE

James O. Berger, Maria J. Bayarri, 1994 .

Statistical Inverse Analysis for a Network Microsimulator

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

Preposterior and Sequential Analysis

James O. Berger, 1985 .

The Interface Between Statistics and Philosophy of Science]: Comment

James O. Berger, 1988 .

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

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

[The 1988 Wald Memorial Lectures: The Present Position in Bayesian Statistics]: Comment

James O. Berger, 1990 .

Bayesian Statistics 8

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

PROBLEMS ON THE BAYESIAN/FREQUENTIST INTERFACE

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

On the Ubiquity of Information Inconsistency for Conjugate Priors

James O. Berger, M. J. Bayarri, Joris Mulder, 2017 .

Prior Information and Subjective Probability

James O. Berger, J. Berger, 1985 .

A Catalog of Noninformative Priors

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

Using Statistical and Computer Models to Quantify Volcanic Hazards

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

Bayesian and Frequentist Approaches to Parametric Predictive Inference

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

On the Statistical Formalism of Uncertainty Quantification

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

Statistical and Applied Mathematical Sciences Institute (SAMSI)

James O. Berger, 2006 .

Statistical Decision Theory

James O. Berger, 1980 .

Incorporating Uncertainties into Traffic Simulators

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

Additional or Updated References

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

Chapter 2: Conditioning

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

A Framework for Validation of Computer Models

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

Simulation Methods for Model Criticism and Robustness Analysis

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

STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS

James O. Berger, J. Berger, 1984 .

External Bayesian analysis for computer simulators

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

Complete and Essentially Complete Classes

James O. Berger, 1985 .

The interplay of Bayesian and frequentist analysis

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

Automating Emulator Construction for Geophysical Hazard Maps

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

An overview of robust Bayesian analysis

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

Hypothesis testing and model uncertainty

James O. Berger, Maria J. Bayarri, 2013 .

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

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

A Bayesian analysis of the thermal challenge problem

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

Bayesian stochastic computation with application to model selection and inverse problems

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

Parallel partial Gaussian process emulation for computer models with massive output

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

Combining Independent Normal Mean Estimation Problems with Unknown Variances

James O. Berger, M. E. Bock, 1976 .

Default Analysis of Mixture Models Using Expected Posterior Priors

James O. Berger, J. Berger, 1999 .

Robust Gaussian stochastic process emulation

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

Selecting a Minimax Estimator of a Multivariate Normal Mean

James O. Berger, J. Berger, 1982 .

Bayesian sequential reliability for Weibull and related distributions

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

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

James O. Berger, J. Berger, 1980 .

Parametric Empirical Bayes Inference: Theory and Applications: Comment

James O. Berger, J. Berger, 1983 .

Semiparametric Bayesian Analysis of Selection Models

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

Bayesian analysis of dynamic item response models in educational testing

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

Simultaneous Bayesian-frequentist sequential testing of nested hypotheses

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

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

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

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

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

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

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

Bayesian Analysis for the Poly-Weibull Distribution

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

Bayesian robustness in bidimensional models: Prior independence

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

Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements

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

Posterior model probabilities via path‐based pairwise priors

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

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

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

Natural induction: An objective bayesian approach

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

Monte carlo markov chain sampling for bayesian computation, with applications to constrained parameter spaces

James O. Berger, Ming-Hui Chen, Bruce W. Schmeiser, 1993 .

Optimal robust credible sets for contaminated priors

James O. Berger, Siva Sivaganesan, L. Mark Berliner, 1993 .

Why should clinicians care about Bayesian methods

James O. Berger, J. Berger, 2001 .

Robust hierarchical Bayes estimation of exchangeable means

James O. Berger, Jean-François Angers, 1991 .

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

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

The Effective Sample Size

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

Discussion: On the Consistency of Bayes Estimates

James O. Berger, J. Berger, 1986 .

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 .

Statistical Foundations for the Validation of Computer Models

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

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.

Posterior propriety and admissibility of hyperpriors in normal hierarchical models

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

Reference Priors in a Variance Components Problem

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

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

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

The Median Probability Model and Correlated Variables

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

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

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

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

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

Noninformative priors for inferences in exponential regression models

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

Robust Bayesian Hypothesis Testing in the Presence of Nuisance Parameters

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

Objective Priors for the Multivariate Normal Model

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

Estimating a Product of Means: Bayesian Analysis with Reference Priors

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

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.

Bayesian Methods for Analysis and Adaptive Scheduling of Exoplanet Observations

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

Objective Priors for Discrete Parameter Spaces

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

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 .

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 .

Ordered group reference priors with application to the multinomial problem

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

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

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

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 .

Robust Bayesian analysis of selection models

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

Default Bayes Factors for Nonnested Hypothesis Testing

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

On The Justification of Default and Intrinsic Bayes Factors

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

Robust Bayesian analysis of the binomial empirical Bayes problem

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