Check nearby libraries
Buy this book
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)
Check nearby libraries
Buy this book
Previews available in: English
Showing 8 featured editions. View all 8 editions?
Book Details
Edition Notes
Includes bibliographical references (p. [531]-577) and indexes.
Classifications
The Physical Object
ID Numbers
Excerpts
first sentence
Community Reviews (0)
Feedback?History
- Created March 18, 2010
- 14 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
December 19, 2023 | Edited by ImportBot | import existing book |
August 5, 2023 | Edited by AgentSapphire | Merge works |
August 5, 2023 | Edited by AgentSapphire | //covers.openlibrary.org/b/id/14403522-S.jpg |
August 5, 2023 | Edited by AgentSapphire | ocaid |
March 18, 2010 | Created by ImportBot | Imported from Library of Congress MARC record. |