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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation
Christian P. Robert
4.23
30 ratings
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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.
Genres
Mathematics
Academic
Science
Reference
Textbooks
628 pages, Paperback
First published January 9, 1997
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Christian P. Robert
22 books
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4.23
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