Statistical RethinkingA Bayesian Course with R Examples

This book provides a more elementary introduction to Bayesian analysis than the Gelman book and is more suitable for graduate students in disciplines other than statistics. It uses a lot of examples and discussion to provide a bridge between introductory textbooks and the more mathematical books. Aimed at natural/social scientists and Ph.D. students, it is designed to teach computation and application, not mathematics. Data examples come from anthropology, ecology and social sciences.

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Jan, 2016
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Jan, 2016

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