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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Hlavní autor: Robert, Christian P., 1961- (Autor)
Médium: Kniha
Jazyk:English
French
Vydáno: New York : Springer, ©2007.
Vydání:Second edition.
Edice:Springer texts in statistics.
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240 1 0 |a Analyse statistique bayésienne.  |l English 
245 1 4 |a The Bayesian choice :  |b from decision-theoretic foundations to computational implementation /  |c Christian P. Robert. 
250 |a Second edition. 
264 1 |a New York :  |b Springer,  |c ©2007. 
264 4 |c ©2007 
300 |a xxiv, 602 pages :  |b illustrations ;  |c 24 cm 
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490 1 |a Springer texts in statistics 
504 |a Includes bibliographical references (pages 531-577) and indexes. 
520 |a 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. 
505 0 |a 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. 
650 0 |a Bayesian statistical decision theory. 
650 6 |a Théorie de la décision bayésienne. 
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650 7 |a Bayes-Entscheidungstheorie  |2 gnd 
650 7 |a Bayes-Verfahren  |2 gnd 
650 7 |a Lehrbuch  |2 gnd 
650 7 |a Inferência bayesiana (inferência estatística)  |2 larpcal 
650 7 |a Teoria da decisão (estatísticas e dados numéricos)  |2 larpcal 
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