The Bayesian Choice
From Decision-Theoretic Foundations to Computational Implementation
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ISBN-13:
9780387952314
Veröffentl:
2001
Einband:
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Erscheinungsdatum:
25.05.2001
Seiten:
632
Autor:
Christian Robert
Gewicht:
1103 g
Format:
241x160x40 mm
Serie:
Springer Texts in Statistics
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.
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