Bayesian Logical Data Analysis for the Physical Sciences

Name: Bayesian Logical Data Analysis for the Physical Sciences
Brand: Cambridge University Press
SKU: 9780521841504
Price: 831.87 RON
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A Comparative Approach with Mathematica (R) Support

Autor: Phil Gregory

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Legare: Copertă tare

Editura: Cambridge University Press

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Phil Gregory

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2005

Pagini

488

EAN

9780521841504

ISBN

052184150X

Enbook ID

02046456

Editura

Cambridge University Press

Greutate

1082

Dimensiuni

184 x 260 x 33

Descriere completă

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

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Descriere completă

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