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.
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