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

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This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.

Author(s): Christian P. Robert
Edition: 2nd
Publisher: Springer Verlag, New York
Year: 2007

Language: English
Pages: 577