J
James O. Berger
Researcher at Duke University
Publications - 241
Citations - 39178
James O. Berger is an academic researcher from Duke University. The author has contributed to research in topics: Prior probability & Bayesian probability. The author has an hindex of 71, co-authored 241 publications receiving 36488 citations. Previous affiliations of James O. Berger include University of Valencia & University College London.
Papers
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Book ChapterDOI
Objective Bayesian analysis under sequential experimentation
Dongchu Sun,James O. Berger +1 more
TL;DR: In this paper, the reference prior and the Jeffreys prior for sequential experiments are considered. But the reference priors depend on the stopping rule used for the sequential experiment, and computational issues involving such priors are discussed.
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Robust Gaussian Stochastic Process Emulation
TL;DR: In this paper, the authors consider the estimation of the parameters of a Gaussian Stochastic Process (GaSP) in the context of emulation (approximation) of computer models for which the outcomes are realvalued scalars.
Journal ArticleDOI
Optimal robust credible sets for contaminated priors
TL;DR: In this paper, the optimal robust credible set for the e-contamination class of priors with arbitrary contaminations is derived, where the smallest set with posterior probability at least is chosen with respect to each prior in the class.
Journal ArticleDOI
Inadmissibility Results for the Best Invariant Estimator of Two Coordinates of a Location Vector
TL;DR: In this paper, it was shown that the best invariant estimator of $(\theta_1, \theta-2) is inadmissible under certain conditions on the loss function.
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On the Ubiquity of Information Inconsistency for Conjugate Priors
TL;DR: It is shown that information inconsistency is ubiquitous in Bayesian hypothesis testing under conjugate priors and that theoretically recommended priors, including scale mixtures of conjugates and adaptivepriors, are information consistent.