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Empirical Bayes : some tools, rules, and duals / Roger Koenker, Jiaying Gu.

Cambridge eBooks: Frontlist 2026 Available online

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Format:
Book
Author/Creator:
Koenker, Roger, 1947- author.
Gu, Jiaying, author.
Series:
Econometric Society monographs ; no. 69.
Econometric Society monograph series ; 69
Language:
English
Subjects (All):
Bayesian statistical decision theory.
Physical Description:
1 online resource (xv, 299 pages).
Place of Publication:
Cambridge ; New York, NY : Cambridge University Press, [2026]
Summary:
Empirical Bayes methods as envisioned by Herbert Robbins are becoming an essential element of the statistical toolkit. In Empirical Bayes: Tools, Rules, and Duals, Roger Koenker and Jiaying Gu offer a unified view of these methods. They stress recent computational developments for nonparametric estimation of mixture models, not only for the traditional Gaussian and Poisson settings, but for a wide range of other applications. Providing numerous illustrations where empirical Bayes methods are attractive, the authors give a detailed discussion of computational methods, enabling readers to apply the methods in new settings.-- Provided by publisher.
Contents:
Introduction
The empirical Bayes paradigm
Parametric empirical Bayes methods
Nonparametric empirical Bayes methods
Mixture models
Heteroscedastic Gaussian mixture models and longitudinal data
Ranking and selection as compound decisions
Empirical Bayes methods for survival analysis
Mixture models for categorical data
Random coefficient models
Inference for empirical Bayes procedures
Computational considerations
Conclusion.
Notes:
Includes bibliographical references and indexes
Online resource; title from PDF title page (Cambridge Core, viewed September 3, 2026)
Other Format:
Print version: Koenker, Roger Empirical Bayes
ISBN:
9781009275354
1009275356
9781009275347
1009275348
9781009275323
1009275321
OCLC:
1587362696
Publisher Number:
CIPO000381684
Access Restriction:
Restricted for use by site license

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