The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation
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ISBN-13:
9780387952314
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
25.05.2001
Seiten:
632
Autor:
Christian Robert
Gewicht:
1103 g
Format:
241x160x39 mm
Sprache:
Englisch
Beschreibung:

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.
Bayesian statistics is a very active research area with new theoretical results and applications. This book will serve as an introduction to the area.
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.
This graduate-level textbook, now in paperback, presents an introduction to Bayesian statistics and decision theory. Its scope covers both the basic ideas of statistical theory and some modern and advanced topics of Bayesian statistics.

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