314 citations · 632 across the 8 of their papers we have counts for
8 papers
On the Ubiquity of Information Inconsistency for Conjugate Priors
Joris Mulder, James O. Berger, Víctor Peña +1
Informally, "Information Inconsistency" is the property that has been observed in many Bayesian hypothesis testing and model selection procedures whereby the Bayesian conclusion do…
Rejection Odds and Rejection Ratios: A Proposal for Statistical Practice in Testing Hypotheses
M. J. Bayarri, Daniel J. Benjamin, James O. Berger +1
Much of science is (rightly or wrongly) driven by hypothesis testing. Even in situations where the hypothesis testing paradigm is correct, the common practice of basing inferences…
Criteria for Bayesian model choice with application to variable selection
M. J. Bayarri, J. O. Berger, A. Forte +1
In objective Bayesian model selection, no single criterion has emerged as dominant in defining objective prior distributions. Indeed, many criteria have been separately proposed an…
Objective Bayes testing of Poisson versus inflated Poisson models
M. J. Bayarri, James O. Berger, Gauri S. Datta
The Poisson distribution is often used as a standard model for count data. Quite often, however, such data sets are not well fit by a Poisson model because they have more zeros tha…
Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models
M. J. Bayarri, M. E. Castellanos
Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models [arXiv:0802.0743]
Bayesian Checking of the Second Levels of Hierarchical Models
M. J. Bayarri, M. E. Castellanos
Hierarchical models are increasingly used in many applications. Along with this increased use comes a desire to investigate whether the model is compatible with the observed data.…