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Bayesian methods : a social and behavioral sciences approach

Author: Jeff Gill
Publisher: Boca Raton : Chapman & Hall/CRC, ©2008.
Series: Statistics in the social and behavioral sciences series.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
Requiring only a background in introductory statistics, calculus, and matrix algebra, Bayesian Methods: A Social and Behavioral Sciences Approach provides detailed explanations of derivations and theories using a computationally oriented approach. This second edition features new updates on topics such as Markov chain Monte Carlo (MCMC) algorithms, perfect sampling, and Bayesian nonparametrics. The author emphasizes  Read more...
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Additional Physical Format: Online version:
Gill, Jeff.
Bayesian methods.
Boca Raton : Chapman & Hall/CRC, ©2008
(OCoLC)654764430
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Jeff Gill
ISBN: 9781584885627 1584885629
OCLC Number: 144774105
Description: xxxvii, 711 pages : illustrations ; 25 cm.
Contents: 1. Background and Introduction --
2. Specifying Bayesian Models --
3. The Normal and Student's-t Models --
4. The Bayesian Linear Model --
5. The Bayesian Prior --
6. Assessing Model Quality --
7. Bayesian Hypothesis Testing and the Bayes Factor --
8. Monte Carlo and Related Methods --
9. Basics of Markov Chain Monte Carlo --
10. Bayesian Hierarchical Models --
11. Some Markov Chain Monte Carlo Theory --
12. Utilitarian Markov Chain Monte Carlo --
13. Advanced Markov Chain Monte Carlo --
App. A. Generalized Linear Model Review --
App. B. Common Probability Distributions --
App. C. Introduction to the BUGS Language.
Series Title: Statistics in the social and behavioral sciences series.
Responsibility: Jeff Gill.
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Abstract:

Requiring only a background in introductory statistics, calculus and matrix algebra, this text provides explanations of derivations and theories using a computationally oriented approach. It covers  Read more...

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Autodidacts with the requisite background in calculus, statistics, and linear algebra probably would get the greatest benefit out of Gill [due to] breadth of relevant topics and in-depth coverage of Read more...

 
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