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Bayesian logical data analysis for the physical sciences : a comparative approach with Mathematica support /

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendice...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gregory, P. C. (Philip Christopher), 1941-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2005.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Gregory, P. C.  |q (Philip Christopher),  |d 1941- 
245 1 0 |a Bayesian logical data analysis for the physical sciences :  |b a comparative approach with Mathematica support /  |c P.C. Gregory. 
260 |a Cambridge, UK ;  |a New York :  |b Cambridge University Press,  |c 2005. 
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520 |a Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available. 
505 0 |a Cover; Half-title; Title; Copyright; Contents; Preface; Acknowledgements; 1 Role of probability theory in science; 2 Probability theory as extended logic; 3 The how-to of Bayesian inference; 4 Assigning probabilities; 5 Frequentist statistical inference; 6 What is a statistic?; 7 Frequentist hypothesis testing; 8 Maximum entropy probabilities; 9 Bayesian inference with Gaussian errors; 10 Linear model fitting (Gaussian errors); 11 Nonlinear model fitting; 12 Markov chain Monte Carlo; 13 Bayesian revolution in spectral analysis; 14 Bayesian inference with Poisson sampling. 
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