The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation (Springer Texts in Statistics)

The Bayesian Choice: From Decision-theoretic Foundations to Computational Implementation (Springer Texts in Statistics)

By Christian P. Robert

• Publisher:   Springer-Verlag
• Number Of Pages:   602
• Publication Date:   2007-06
• Sales Rank:  
• ISBN / ASIN:   0387715983
• EAN:   9780387715988
• Binding:   Paperback
• Manufacturer:   Springer-Verlag
• Studio:   Springer-Verlag
• Average Rating:  
• Total Reviews:  

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Book Description:

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 freeduan.com 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

Book Series	Springer Texts in Statistics
Subject	Statistics and Statistical Theory and Methods
Publisher	Springer New York
DOI	10.1007/0-387-71599-1
Copyright	2007
ISBN	978-0-387-71598-8 (Print) 978-0-387-71599-5 (Online)
Subject Collection	Mathematics and Statistics
Subject	Statistics and Statistical Theory and Methods
SpringerLink Date	Saturday, May 19, 2007

Book Series	Springer Texts in Statistics
Subject	Statistics and Statistical Theory and Methods
Publisher	Springer New York
DOI	10.1007/0-387-71599-1
Copyright	2007
ISBN	978-0-387-71598-8 (Print) 978-0-387-71599-5 (Online)
Subject Collection	Mathematics and Statistics
Subject	Statistics and Statistical Theory and Methods
SpringerLink Date	Saturday, May 19, 2007