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:
Mathematica (Computer file)
Mathematica (Logiciel)
Bayesian statistical decision theory.
Physical sciences > Statistical methods.
Théorie de la décision bayésienne.
Sciences physiques > Méthodes statistiques.
MATHEMATICS > Probability & Statistics > Bayesian Analysis.
Bayesian statistical decision theory
Physical sciences > Statistical methods
Methode van Bayes.
Mathematica (computerprogramma)
Natuurwetenschappen.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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