Statistical rethinking : a Bayesian course with examples in R and Stan
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Description
Front Cover Contents Preface 1: The Golem of Prague 2: Small Worlds and Large Worlds 3: Sampling the Imaginary 4: Linear Models 5: Multivariate Linear Models 6: Overfitting, Regularization, and Information Criteria 7: Interactions 8: Markov Chain Monte Carlo 9: Big Entropy and the Generalized Linear Model 10: Counting and Classification 11: Monsters and Mixtures 12: Multilevel Models 13: Adventures in Covariance 14: Missing Data and Other Opportunities 15: Horoscopes Endnotes Bibliography Back Cover
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