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

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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.

628 pages, Paperback

First published January 9, 1997

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Christian P. Robert

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