Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support Book + PRICE WATCH * Amazon pricing is not included in price watch

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support Book

Increasingly, researchers in many branches of science are 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. The book 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 pe rspective. Background material is provided in appendices and supporting Mathematica notebooks are available. Suitable for upper-undergraduates, graduate students, or any serious researcher in physical sciences or engineering.Read More

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  • Product 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.

  • 052184150X
  • 9780521841504
  • Phil Gregory
  • 14 April 2005
  • Cambridge University Press
  • Hardcover (Book)
  • 486
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