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May 2019 Bayes, Oracle Bayes and Empirical Bayes
Bradley Efron
Statist. Sci. 34(2): 177-201 (May 2019). DOI: 10.1214/18-STS674

Abstract

This article concerns the Bayes and frequentist aspects of empirical Bayes inference. Some of the ideas explored go back to Robbins in the 1950s, while others are current. Several examples are discussed, real and artificial, illustrating the two faces of empirical Bayes methodology: “oracle Bayes” shows empirical Bayes in its most frequentist mode, while “finite Bayes inference” is a fundamentally Bayesian application. In either case, modern theory and computation allow us to present a sharp finite-sample picture of what is at stake in an empirical Bayes analysis.

Citation

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Bradley Efron. "Bayes, Oracle Bayes and Empirical Bayes." Statist. Sci. 34 (2) 177 - 201, May 2019. https://doi.org/10.1214/18-STS674

Information

Published: May 2019
First available in Project Euclid: 19 July 2019

zbMATH: 1420.62023
MathSciNet: MR3983318
Digital Object Identifier: 10.1214/18-STS674

Keywords: $g$-modeling , empirical Bayes regret , Finite Bayes inference , relevance

Rights: Copyright © 2019 Institute of Mathematical Statistics

Vol.34 • No. 2 • May 2019
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