Bayesian models : a statistical primer for ecologists / N. Thompson Hobbs and Mevin B. Hooten.
Bayesian Models is an essential primer for non-statisticians. It begins with a definition of probability and develops a step-by-step sequence of connected ideas, including basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and inference from single and multip...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Princeton, New Jersey :
Princeton University Press,
[2015]
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| Subjects: | |
| Online Access: | Click here to view this book |
| Summary: | Bayesian Models is an essential primer for non-statisticians. It begins with a definition of probability and develops a step-by-step sequence of connected ideas, including basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and inference from single and multiple models. This unique book places less emphasis on computer coding, favoring instead a concise presentation of the mathematical statistics needed to understand how and why Bayesian analysis works. It also explains how to write out properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals.--Publisher description. |
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| Physical Description: | 1 online resource (xiv, 299 pages : illustrations) |
| Bibliography: | Includes bibliographical references (pages 283-291) and index. |
| ISBN: | 1400866553 9781400866557 |