The Bayesian choice : from decision-theoretic foundations to computational implementation
Author(s)
Bibliographic Information
The Bayesian choice : from decision-theoretic foundations to computational implementation
（Springer texts in statistics）
Springer, c2001
2nd ed
- Other Title
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Analyse statistique bayésienne
- Uniform Title
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Analyse statistique bayésienne
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Note
Includes bibliographical references (p. [531]-579) and indexes
Description and Table of Contents
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.
Table of Contents
Decision-Theoretic Foundations.- From Prior Information to Prior Distributions.- Bayesian Point Estimation.- Tests and Confidence Regions.- Bayesian Calculations.- Model Choice.- Admissibility and Complete Classes.- Invariance, Haar Measures, and Equivariant Estimators.- Hierarchical and Empirical Bayes Extensions.- A Defense of the Bayesian Choice.
by "Nielsen BookData"
