Bayesian Logical Data Analysis for the Physical Sciences with Mathematica Support
Phil Gregory
Researchers in many branches of science are increasingly 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. It also discusses numerical techniques for implementing the Bayesian calculations, including Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective.
Категории:
Година:
2010
Издание:
1
Издателство:
Cambridge University Press
Език:
english
Страници:
488
ISBN 10:
0521150124
ISBN 13:
9780521150125
Файл:
PDF, 6.79 MB
IPFS:
,
english, 2010