Bayesian Logical Data Analysis for the Physical Sciences

Name: Bayesian Logical Data Analysis for the Physical Sciences
Brand: Cambridge University Press
SKU: 9780521841504
Price: 166.51 EUR
Availability: InStock

A Comparative Approach with Mathematica (R) Support

Автор: Phil Gregory

Език:

Корици: С твърди корици

Издател: Cambridge University Press

Наличност: Външен склад

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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters t...

Информация за книгата

Автор

Phil Gregory

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2005

страници

488

EAN

9780521841504

ISBN

052184150X

Enbook ID

02046456

Издател

Cambridge University Press

Теглоt

1082

Размери

184 x 260 x 33

Пълно описание

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® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

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Bayesian Logical Data Analysis for the Physical Sciences

A Comparative Approach with Mathematica (R) Support

Информация за книгата

Пълно описание

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