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Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics

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​Recipes.- A Bit of Theory.- A Bit of Numerical Computation.- Single Parameter Models.- The Prior.- Multi-parameters Models.- Non-random Data Collection.- Fitting Regression Models.- Model Checking and Sensitivity Analysis.- Bayesian vs Simple Methods.- Probability Distributions.- The third axiom of probability, conditional probability, independence and conditional independence.

252 pages, Paperback

First published January 1, 2015

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