The main purpose of statistical theory is to derive from observations of a random phenomenon an inference about the probability distribution underlying this phenomenon.
An edition of Analyse statistique bayésienne
(1994)
The Bayesian Choice
From Decision-Theoretic Foundations to Computational Implementation
2nd ed.
by Christian P. Robert, Christian Robert, and Christian P. Robert
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A graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration including Gibbs sampling, and other MCMC techniques. It was awarded the 2004 DeGroot Prize by the International Society for Bayesian Analysis (ISBA) for setting "a new standard for modern textbooks dealing with Bayesian methods, especially those using MCMC techniques, and that it is a worthy successor to DeGroot's and Berger's earlier texts".
source: https://www.springer.com/us/book/9780387952314
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Bayesian statistical decision theory, Bayesian statistics, decision theory, statistical theory, complete class theorems -- statistics, Statistics, Mathematical statistics, Statistical Theory and Methods, Mathematics, Distribution (Probability theory), Probability Theory and Stochastic ProcessesShowing 8 featured editions. View all 8 editions?
| Edition | Availability |
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1
Bayesian Choice: A Decision-Theoretic Motivation
2013, Springer London, Limited
in English
1475743149 9781475743142
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2
The Bayesian choice: from decision-theoretic foundations to computational implementation
2007, Springer
in English
- 2nd ed.
0387715983 9780387715988
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zzzz
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WorldCat
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3
Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation
2007, Springer London, Limited
in English
0387715991 9780387715995
|
zzzz
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WorldCat
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4
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation
2007, Springer
Hardcover
in English
- 2nd ed.
0387715983 9780387715988
|
aaaa
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WorldCat
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5
The Bayesian choice: from decision-theoretic foundations to computational implementation
2001, Springer
in English
- 2nd ed.
0387952314 9780387952314
|
cccc
Libraries near you:
WorldCat
|
6
The Bayesian Choice: A Decision-Theoretic Motivation (Springer Texts in Statistics)
January 9, 1997, Springer
in English
0387942963 9780387942964
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zzzz
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7
The Bayesian Choice: A Decision-Theoretic Motivation (Springer Texts in Statistics)
June 1996, Springer-Verlag
Hardcover
in English
3540942963 9783540942962
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zzzz
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8
The Bayesian choice: a decision-theoretic motivation
1994, Springer-Verlag, Springer
in English
0387942963 9780387942964
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A graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration including Gibbs sampling, and other MCMC techniques. It was awarded the 2004 DeGroot Prize by the International Society for Bayesian Analysis (ISBA) for setting "a new standard for modern textbooks dealing with Bayesian methods, especially those using MCMC techniques, and that it is a worthy successor to DeGroot's and Berger's earlier texts".
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