The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation - Christian Robert
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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.
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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.
More Information
| Author | Christian Robert |
|---|---|
| Publisher | Springer US |
| Series | Springer Texts in Statistics |
| Release year | 2001 |
| Cover type | Hardcover |
| EAN | 9780387952314 |