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

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

Springer Texts in Statistics

Christian Robert

606 pages missing pub info (editions)

nonfiction mathematics
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Description

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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