Volume 10, Issue 2
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support
Phil Gregory, 2005, Cambridge University Press, 468 pp., hardcover
The underlying concepts of Bayesian analysis, with large numbers of worked examples and problem sets, are covered here in great detail. The text also discusses numerical techniques for implementing Bayesian calculations, with an introduction to Markov chain Monte Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective.
This book is available in the Wolfram Research bookstore.
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