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portada Bayesian Logical Data Analysis for the Physical Sciences Paperback
Type
Physical Book
Year
2010
Language
English
Pages
488
Format
Paperback
Dimensions
24.4 x 17.0 x 2.8 cm
Weight
0.77 kg.
ISBN
0521150124
ISBN13
9780521150125
Edition No.
1

Bayesian Logical Data Analysis for the Physical Sciences Paperback

Phil Gregory (Author) · Cambridge University Press · Paperback

Bayesian Logical Data Analysis for the Physical Sciences Paperback - Gregory, Phil

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NT$ 3,600

Synopsis "Bayesian Logical Data Analysis for the Physical Sciences Paperback "

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.

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