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

Gregory, P. C.

 
9780521841504: Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support
Tapa dura
ISBN 10: 052184150X ISBN 13: 9780521841504
Editorial: Cambridge University Press, 2005

Sinopsis

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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Acerca del autor

Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Cambridge University Press
Año de publicación
2005
Idioma
Inglés
ISBN 10 
052184150X
ISBN 13 
9780521841504
Encuadernación
Tapa dura
Número de páginas
488
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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