Bayes Linear Statistics, Theory and Methods by David Wooff
Bayes Linear Statistics, Theory and Methods by David Wooff
English | June 5, 2007 | ISBN: 0470015624 | 539 Pages | PDF | 3 MB
English | June 5, 2007 | ISBN: 0470015624 | 539 Pages | PDF | 3 MB
Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field.
The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples.