Review
'As well as the usual topics to be found in a text on Bayesian inference, chapters are included on frequentist inference (for contrast), non-linear model fitting, spectral analysis and Poisson sampling.' Zentralblatt MATH
Book Description
Researchers in many branches of science are increasingly coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. It also discusses numerical techniques for implementing the Bayesian calculations, including Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective.
Product Details
* Hardcover: 486 pages
* Publisher: Cambridge University Press (May 23, 2005)
* Language: English
* ISBN: 052184150X
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support
Date: 18 Oct 2006 05:36:00