Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan / John Kruschke.
Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Amsterdam :
Academic Press,
2015.
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| Edition: | 2nd edition. |
| Subjects: | |
| Online Access: | Click here to view this book ScienceDirect |
| Summary: | Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. |
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| Item Description: | Previous edition: 2011. |
| Physical Description: | 1 online resource (v, 759 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0124059163 9780124059160 |