The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation

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Christian P. Robert, ?The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation
(Springer Texts in Statistics)?

Springer-Verlag | ISBN 0387715983 | 2 edition (June 2007) | 602 pages| PDF | 5 Mb
This graduate-level textbook presents an introduction to Bayesian statistics and decision theory. Its scope covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, hierarchical and empirical Bayes modeling, Monte Carlo integration, and Gibbs sampling. It is the translation of a successful French text. In the translation to the English edition, the author has taken the opportunity to add and update material, and to include many problems and exercises for students.

From reviews of the French edition: I strongly encourage everyone teaching Bayesian decision theory to use (this) as the main textbook. Journal of the American Statisical Association On the whole, the book serves its purpose admirably. Journal of the Royal Statistical Society

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