The Bayesian choice: from decision-theoretic foundations to computational implementation

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Edition: 2nd ed

Series: Springer texts in statistics

ISBN: 0387715983, 978-0-387-71598-8

Size: 5 MB (5029591 bytes)

Pages: 617/617

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Christian P. Robert0387715983, 978-0-387-71598-8

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.

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