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Bayesian Models – A Statistical Primer for Ecologists - Princeton Scholarship Online
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Bayesian Models: A Statistical Primer for Ecologists

N. Thompson Hobbs and Mevin B. Hooten


Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This book provides a comprehensive and accessible introduction to the latest Bayesian methods. It emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach, and 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, ... More

Keywords: Bayesian modeling, Bayesian models, computations, non-statisticians, mathematical statistics, probability, Markov chain Monte Carlo, ecologist

Bibliographic Information

Print publication date: 2015 Print ISBN-13: 9780691159287
Published to Princeton Scholarship Online: October 2017 DOI:10.23943/princeton/9780691159287.001.0001


Affiliations are at time of print publication.

N. Thompson Hobbs, author
Colorado State University

Mevin B. Hooten, author
Colorado State University