Screen LibraryDoing Bayesian data analysis : a tutorial with R, JAGS, and stan /
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 Authors: | |
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| Published: |
Academic Press,
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| Publisher Address: | Amsterdam : |
| Publication Dates: | [2015] |
| Literature type: | Book |
| Language: | English |
| Edition: | Edition 2. |
| Subjects: | |
| 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. |
| Carrier Form: | xii, 759 pages : illustrations ; 25 cm |
| Bibliography: | Includes bibliographical references (pages 737-745) and index. |
| ISBN: |
9780124058880 (hardback) : 0124058884 (hardback) |
| CLC: |
O212.8 TP312R |
| Call Number: | O212.8/K946/2nd ed. |
| Contents: | What's in this book (Read this first!) -- Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule -- Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample siz |