Bayesian Analysis

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

Name: Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support
Brand: Cambridge University Press
SKU: 9780521150125
Price: 8703.00 INR
Availability: InStock
ISBN: 9780521150125

BAYESIAN LOGICAL DATA ANALYSIS

Contributor(s): Gregory, P. C. Author Format: Paperback

Paperback · ISBN 9780521150125

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Key Specifications

ISBN	9780521150125
Subtitle	BAYESIAN LOGICAL DATA ANALYSIS
Publisher	Cambridge University Press
Publication date	May 2010
Language	English
MRP	£69.00 GBP
Page count	488
Item weight	170 g

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica(R) notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

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

Key Specifications

Gregory, P. C. Author

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