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Bayesian methods for data analysis / Bradley P. Carlin, Thomas A. Louis.
Holman Biotech Commons QA279.5 .C36 2009
Available
- Format:
- Book
- Author/Creator:
- Carlin, Bradley P.
- Series:
- Texts in statistical science
- Chapman & Hall/CRC texts in statistical science series
- Language:
- English
- Subjects (All):
- Bayesian statistical decision theory.
- Physical Description:
- xv, 535 pages : illustrations, maps ; 25 cm.
- Edition:
- Third edition.
- Place of Publication:
- Boca Raton : CRC Press, [2009]
- Summary:
- Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques.
- New to the Third Edition New data examples, corresponding R and WinBUGS code, and homework problems, Explicit descriptions and illustrations of hierarchical modeling-now commonplace in Bayesian data analysis, A new chapter on Bayesian design that emphasizes Bayesian clinical trials, A completely revised and expanded section on ranking and histogram estimation, A new case study on infectious disease modeling and the 1918 flu epidemic.
- Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making its suitable for even more practitioners and students.
- Contents:
- Approaches for statistical inference
- The Bayes approach
- Bayesian computation
- Model criticism and selection
- The empirical Bayes approach
- Bayesian design
- Special methods and models
- Case studies.
- Notes:
- "A Chapman & Hall book."
- Originally published: Bayes and Empirical Bayes methods for data analysis. 1st ed. c1996.
- Includes bibliographical references (pages [487]-520) and indexes.
- ISBN:
- 9781584886976
- 1584886978
- OCLC:
- 227205756
- Publisher Number:
- 99942973673
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