Empirical Bayes Methods with Applications

2. New Auflage 2017
ISBN: 978-1-315-89256-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 296 Seiten, Format (B × H): 222 mm x 144 mm, Gewicht: 482 g

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.

Autoren/Hrsg.

Maritz, J.S.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz

Inhaltsverzeichnis

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

Über Autor(innen)

J.S. Maritz