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Empirical Bayes Methods.

Bagghi, Parthasarathy, Maritz, J. S., Lwin, T.·1991·Journal of the American Statistical Association

Abstract

Originally published in 1970; with a second edition in 1989. Empirical Bayes methods use some of the apparatus of the pure Bayes approach, but an actual prior distribution is assumed to generate the data sequence. It can be estimated thus producing empirical Bayes estimates or decision rules. In this second edition, details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of assessing the goodness of an empirical Bayes estimator for a given set of prior data. Chapters also focus on alternatives to the empirical Bayes approach and actual applications of empirical Bayes methods.

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Metadata

Authors
Bagghi, P., Maritz, J. S., & Lwin, T.
Venue
Journal of the American Statistical Association
Publisher
JSTOR
Published
1991-03
Volume
86
Issue
413
Pages
244
ISSN
0162-1459 (ISSN-L)
OpenAlex
W2898920993
Cited by
331
References
0
FWCI
14.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Empirical Bayes Methods. https://app.cochat.ai/papers/10.2307/2289739
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Bagghi, P., Maritz, J. S., & Lwin, T. (1991). Empirical Bayes Methods. Journal of the American Statistical Association. https://doi.org/10.2307/2289739

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