Bayesian methods a social and behavioral sciences approach
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 topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computi...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
Chapman & Hall/CRC
2008.
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| Edition: | Second edition |
| Series: | Statistics in the social and behavioral sciences series
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| Subjects: | |
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| Summary: | 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 topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computing environment and Bugs simulation program. |
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| Physical Description: | xxxvii, 711 pages illustrations 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781584885627 (alk.paper) 1584885629 (alk.paper) |