600 citations · 2.1k across the 23 of their papers we have counts for
24 papers
The Median Probability Model and Correlated Variables
Marilena Barbieri, James O. Berger, Edward I. George +1
The median probability model (MPM) Barbieri and Berger (2004) is defined as the model consisting of those variables whose marginal posterior probability of inclusion is at least 0.…
RobustGaSP: Robust Gaussian Stochastic Process Emulation in R
Mengyang Gu, Jesús Palomo, James O. Berger
Gaussian stochastic process emulation is a powerful tool for approximating computationally intensive computer models. However, estimation of parameters in the GaSP emulator is a ch…
A note on recent criticisms to Birnbaum's theorem
Víctor Peña, James O. Berger
In this note, we provide critical commentary on two articles that cast doubt on the validity and implications of Birnbaum's theorem: Evans (2013) and Mayo (2014). In our view, the…
Restricted type II maximum likelihood priors on regression coefficients
Víctor Peña, James O. Berger
In Bayesian hypothesis testing and model selection, prior distributions must be chosen carefully. For example, setting arbitrarily large prior scales for location parameters, which…
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…
Robust Gaussian Stochastic Process Emulation
Mengyang Gu, Xiaojing Wang, James O. Berger
We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-val…