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Maritz J.S., Lwin T. Empirical Bayes Methods with Applications

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Maritz J.S., Lwin T. Empirical Bayes Methods with Applications
2nd Edition. — Boca Raton, ISA, CRC Press, Taylor & Francis Group, 2017. — 297 p. — (Monographs on Statistics and Applied Probability 35). — ISBN10: 1315892561.
The second edition of Empirical Bayes Methods 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. A chapter is devoted to a discussion of alternatives to the empirical Bayes approach and there is also a chapter giving details of several actual applications of empirical Bayes method.
Introduction to Bayes and empirical Bayes methods
Estimation of the prior distribution
Empirical Bayes point estimation
Empirical Bayes point estimation: vector parameters
Testing of hypotheses
Bayes and empirical Bayes interval estimation
Alternatives to empirical Bayes
Applications of EB methods
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