Statistical Rethinking A Bayesian Course With Examples in R and Stan

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.