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

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

This edition introduces Bayesian statistics and decision theory and covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics.

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Bibliographic Details
Main Author:	Robert, Christian P., 1961- (Author)
Format:	Book
Language:	English French
Published:	New York : Springer, ©2007.
Edition:	Second edition.
Series:	Springer texts in statistics.
Subjects:	Bayesian statistical decision theory. Théorie de la décision bayésienne. Bayes-Entscheidungstheorie Bayes-Verfahren Lehrbuch Inferência bayesiana (inferência estatística) Teoria da decisão (estatísticas e dados numéricos)

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. Probability distributions
Usual Pseudo-random generators
Notations.