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Bayes Empirical Bayes

Deely, J. J., Lindley, D. V.·1981·Journal of the American Statistical Association

Abstract

A Bayesian approach is given for various kinds of empirical Bayes problems. In particular it is shown that empirical Bayes procedures are really non-Bayesian, asymptotically optimal, classical procedures for mixtures. In some situations these procedures are Bayes with respect to some prior and in other situations, there is no prior for which they are Bayes. Several examples of these concepts are given as well as a general theory showing the difference between an empirical Bayes model and a Bayes empirical Bayes model.

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Metadata

Authors
Deely, J. J., & Lindley, D. V.
Venue
Journal of the American Statistical Association
Published
1981-12
Volume
76
Issue
376
Pages
833-841
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2089519699
Cited by
250
References
0
FWCI
3.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bayes Empirical Bayes. https://app.cochat.ai/papers/10.1080/01621459.1981.10477731
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Deely, J. J., & Lindley, D. V. (1981). Bayes Empirical Bayes. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1981.10477731

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