M. J. Bayarri

发表

Bayesian Checking of the Second Levels of Hierarchical Models. Rejoinder.

M. J. Bayarri, M. E. Castellanos, M. Castellanos, 2007, 0802.0743.

SAMSI 2006-07 Program on Development, Assessment and Utilization of Complex Computer Models Final Report

M. J. Bayarri, 2008 .

Prior-based Bayesian information criterion

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

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

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

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

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

On the Ubiquity of Information Inconsistency for Conjugate Priors

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

Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models

M. J. Bayarri, M. E. Castellanos, M. Castellanos, 2007, 0802.0754.

Multiple Testing: Some Contrasts Between Bayesian and Frequentist Approaches

M. J. Bayarri, J. O. Berger, 2006 .

Calibration of ρ Values for Testing Precise Null Hypotheses

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

A Bayesian analysis of a queueing system with unlimited service

M. J. Bayarri, C. Armero, 1997 .

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

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

Particle Learning for Sequential Bayesian Computation

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

Optimal Reporting of Predictions

M. J. Bayarri, M. Degroot, 1989 .

Generative or Discriminative? Getting the Best of Both Worlds

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

The relation between theory and application in statistics

M. J. Bayarri, David Lindley, N. Wermuth, 1995 .

Computer model validation with functional output

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

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 .

Criteria for Bayesian model choice with application to variable selection

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

Bayesian Statistics 8

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

Dealing with Uncertainties in Queues and Networks of Queues: a Bayesian Approach

M. J. Bayarri, C Armero, C. Armero, 2022 .

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 .

Extending conventional priors for testing general hypotheses in linear models

M. J. Bayarri, G. García-Donato, 2007 .

Generalization of Jeffreys divergence‐based priors for Bayesian hypothesis testing

M. J. Bayarri, G. García-Donato, G. Garc'ia-Donato, 2008, 0801.4224.

Bayesian analysis and design for comparison of effect-sizes

M. J. Bayarri, A. M. Mayoral, 2002 .

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 .

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 prevalence of information inconsistency in normal linear models

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

Bayesian measures of surprise for outlier detection

M. J. Bayarri, Maria J. Bayarri, J. Morales, 2003 .

A Bayesian analysis of the thermal challenge problem

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

Divergence Based Priors for Bayesian Hypothesis testing

M. J. Bayarri, 2006 .

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 .

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

M. J. Bayarri, R. Hubbard, K. Berk, 2016 .

What Bayesians expect of each other

M. J. Bayarri, M. Degroot, 1991 .

Non-Centered Parameterisations for Hierarchical Models and Data Augmentation

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

Difficulties and ambiguities in the definition of a likelihood function

M. J. Bayarri, M. H. DeGroot, 1992 .

Direct Bayes for Interest Parameters

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

Asymptotic Distribution of P Values in Composite Null Models: Rejoinder

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

A Statistical Approach to Modeling Genomic Aberrations in Cancer Cells

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

A Comparison Between P-Values for Goodness-of-fit Checking

M. J. Bayarri, Maria J. Bayarri, Maria Eugenia Castellanos, 2000 .

Using Statistical and Computer Models to Quantify Volcanic Hazards

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

Incorporating Uncertainties into Traffic Simulators

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

Letters to the Editor

M. J. Bayarri, R. Hubbard, 2005 .

Information in Selection Models

M. J. Bayarri, M. Degroot, 1987 .

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.

PROBLEMS ON THE BAYESIAN/FREQUENTIST INTERFACE

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

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 .

Prior Assessments for Prediction in Queues

M. J. Bayarri, Maria J. Bayarri, Carmen Armero, 1994 .

Bayesian prediction inM/M/1 queues

M. J. Bayarri, Carmen Armero, Maria J. Bayarri, 1994, Queueing Syst. Theory Appl..

Statistical Inverse Analysis for a Network Microsimulator

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

Truncation, Information, and the Coefficient of Variation

M. J. Bayarri, M. Degroot, P. Goel, 1989 .

A Bayesian Sequential Look at u-Control Charts

M. J. Bayarri, Maria J. Bayarri, Gonzalo García-Donato, 2005, Technometrics.

BAYESIAN CHECKING OF HIERARCHICAL MODELS

M. J. Bayarri, M. E. Castellanos, M. J. Bayarri, 2004 .

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 .

The interplay of Bayesian and frequentist analysis

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

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.

What is the Likelihood Function

Joseph B. Kadane, M. J. Bayarri, Maria J. Bayarri, 1988 .

Bayesian analysis of selection models

M. J. Bayarri, Maria J. Bayarri, Morris H. DeGroot, 1987 .

Objective Bayes testing of Poisson versus inflated Poisson models

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

Robust Bayesian analysis of selection models

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

Designing \ Successful " Replications

M. J. Bayarri, M. A., MayoralUniversitat, 2022 .

Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology

M. J. Bayarri, Peter Reichert, G. White, 2011, Comput. Stat. Data Anal..

Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction

James G. Scott, M. J. Bayarri, Nicholas G. Polson, 2022 .

New tools for consistency in Bayesian nonparametrics

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

Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction

M. J. Bayarri, Nicholas G. Polson, A. Dawid, 2010 .

COMPARISON OF EXPERIMENTS WITH WEIGHTED DISTRIBUTIONS

M. J. Bayarri, M. D. Groot, 1989 .

Automating Emulator Construction for Geophysical Hazard Maps

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

Density Modeling and Clustering Using Dirichlet Diffusion Trees

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

Objective Bayesian Analysis of Multiple Changepoints for Linear Models

M. J. Bayarri, A. Dawid, F. J. Girón, 2006 .

Computational Statistics and Data Analysis Mechanism-based Emulation of Dynamic Simulation Models: Concept and Application in Hydrology

E. Bruce Pitman, M. J. Bayarri, Maria J. Bayarri, 2022 .

Bayesian Design of “Successful” Replications

M. J. Bayarri, Maria J. Bayarri, A. M. Mayoral, 2002 .

Graphical models for hierarchical computations in the analysis and design of replications

M. J. Bayarri, Maria J. Bayarri, A. M. Mayoral, 1999 .

Special Issue on Computer Modeling

Jim Berger, M. J. Bayarri, David M. Steinberg, 2009, Technometrics.