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Bayes Linear Statistics: Theory and Methods

Goldstein, M.; Wooff, D.A.

Authors

D.A. Wooff



Abstract

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. The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification. Simple ways to use partial prior specifications to adjust beliefs, given observations. Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations. General approaches to statistical modelling based upon partial exchangeability judgements. Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses.

Citation

Goldstein, M., & Wooff, D. (2007). Bayes Linear Statistics: Theory and Methods. John Wiley and Sons

Book Type Authored Book
Publication Date Apr 1, 2007
Deposit Date Nov 10, 2008
Publisher URL http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470015624.html

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