“Bayesian Models: A Statistical Primer for Ecologists” written by N.T. Hobbs and M.B. Hooten is now available from Princeton University Press.
Bayesian Models is an essential primer for non-statisticians. It begins by providing a understanding 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 fundamentals of Bayesian analysis. It also explains how to specify properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals.
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