Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach 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.
种类:
年:
2005
出版:
1
出版社:
Cambridge University Press
语言:
english
页:
489
ISBN 10:
0521150124
ISBN 13:
9780521150125
文件:
PDF, 7.23 MB
IPFS:
,
english, 2005