An edition of Analyse statistique bayésienne (1994)

The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

2nd ed.
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Last edited by Lisa
July 26, 2019 | History
An edition of Analyse statistique bayésienne (1994)

The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

2nd ed.
  • 0 Ratings
  • 2 Want to read
  • 0 Currently reading
  • 0 Have read

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

Publish Date
Publisher
Springer
Language
English
Pages
577

Buy this book

Previews available in: English

Edition Availability
Cover of: Bayesian Choice
Bayesian Choice: A Decision-Theoretic Motivation
2013, Springer London, Limited
in English
Cover of: Bayesian Choice
Cover of: The Bayesian choice
Cover of: The Bayesian Choice
Cover of: The Bayesian choice
Cover of: The Bayesian Choice
Cover of: The Bayesian Choice
The Bayesian Choice: A Decision-Theoretic Motivation (Springer Texts in Statistics)
June 1996, Springer-Verlag
Hardcover in English
Cover of: The Bayesian choice
The Bayesian choice: a decision-theoretic motivation
1994, Springer-Verlag, Springer
in English

Add another edition?

Book Details


Published in

New York, USA

Edition Notes

Series
Springer Texts in Statistics
Copyright Date
2007

The Physical Object

Format
Hardcover
Pagination
xxiv, 602p.
Number of pages
577
Dimensions
24 x 16.5 x 4 centimeters
Weight
1070 grams

ID Numbers

Open Library
OL9425514M
Internet Archive
bayesianchoicefr00robe_947
ISBN 10
0387715983
ISBN 13
9780387715988
LCCN
2007926596
OCLC/WorldCat
961034820, 255965262
Google
6oQ4s8Pq9pYC
Library Thing
4561493
Goodreads
47218676

Work Description

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)

Excerpts

The main purpose of statistical theory is to derive from observations of a random phenomenon an inference about the probability distribution underlying this phenomenon.
added by Lisa.

first sentence

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 26, 2019 Edited by Lisa Added new cover
July 26, 2019 Edited by Lisa Corrected details from personal edition.
July 29, 2014 Edited by ImportBot import new book
July 28, 2014 Edited by ImportBot import new book
April 30, 2008 Created by an anonymous user Imported from amazon.com record.