Bayesian Analysis with Python PDF
02016·15.41 MB·English
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Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Thinking Probabilistically -- A Bayesian Inference Primer; Statistics as a form of modeling; Exploratory data analysis; Inferential statistics; Probabilities and uncertainty; Probability distributions; Bayes' theorem and statistical inference; Single parameter inference; The coin-flipping problem; The general model; Choosing the likelihood; Choosing the prior; Getting the posterior; Computing and plotting the posterior; Influence of the prior and how to choose one.;Annotation
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