Empirical Bayes Methods with Applications

by J.S. Maritz

Overview

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.

Product Details

ISBN-13:	9781315892566
Publisher:	Taylor & Francis
Publication date:	11/29/2017
Edition description:	2nd ed.
Pages:	296
Product dimensions:	5.44(w) x 8.50(h) x (d)

Table of Contents

1. Introduction to Bayes and Empirical Bayes methods 2. Estimation of the Prior Distribution 3. Empirical Bayes Point Estimation 4. Empirical Bayes Point Estimation: Vector parameters 5. Testing of Hypotheses 6. Bayes and Empirical Bayes interval Estimation 7. Alternatives to Empirical Bayes 8. Applications of EB Methods