Name: Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach With Mathematica Support (en Inglés)
Price: 246.87 USD
Availability: InStock
Author: P. C. Gregory
ISBN: 9780521841504

portada Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach With Mathematica Support (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

P. C. Gregory

Año

2005

Idioma

Inglés

N° páginas

488

Encuadernación

Tapa Dura

ISBN

052184150x

ISBN13

9780521841504

N° edición

Categorías

Inferencia bayesiana

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach With Mathematica Support (en Inglés)

P. C. Gregory (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach With Mathematica Support (en Inglés)"

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.