Bayesian Logical Data Analysis for the Physical Sciences: A by Phil Gregory

By Phil Gregory

Bayesian inference presents an easy and unified method of information research, permitting experimenters to assign percentages to competing hypotheses of curiosity, at the foundation of the present kingdom of information. through incorporating appropriate previous details, it may possibly occasionally increase version parameter estimates by way of many orders of value. This ebook offers a transparent exposition of the underlying thoughts with many labored examples and challenge units. It additionally discusses implementation, together with an advent to Markov chain Monte-Carlo integration and linear and nonlinear version becoming. rather huge assurance of spectral research (detecting and measuring periodic signs) incorporates a self-contained creation to Fourier and discrete Fourier tools. there's a bankruptcy dedicated to Bayesian inference with Poisson sampling, and 3 chapters on frequentist equipment aid to bridge the space among the frequentist and Bayesian ways. assisting Mathematica® notebooks with options to chose difficulties, extra labored examples, and a Mathematica instructional can be found at www.cambridge.org/9780521150125.

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