The Bayes Linear Programming Language [B/D]

The Bayes Linear Programming Language [B/D]

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Bayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data. Particular emphasis is placed upon interpretation of and diagnostics for the specification. The approach is similar in spirit to the stand...

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Main Authors: David Wooff, Michael Goldstein
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2000-04-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2013
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spelling doaj-9c576ed1f33e4ef6a9c6de4b2e0c24962020-11-24T23:03:22ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602000-04-015111910.18637/jss.v005.i02617The Bayes Linear Programming Language [B/D]David WooffMichael GoldsteinBayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data. Particular emphasis is placed upon interpretation of and diagnostics for the specification. The approach is similar in spirit to the standard Bayes analysis, but is constructed so as to avoid much of the burden of specification and computation of the full Bayes case. This report is the first of a series describing Bayes linear methods. In this document, we introduce some of the basic machinery of the theory. Examples, computational issues, detailed derivations of results and approaches to belief elicitation will be addressed in related reports.http://www.jstatsoft.org/index.php/jss/article/view/2013
collection DOAJ
language English
format Article
sources DOAJ
author David Wooff
Michael Goldstein
spellingShingle David Wooff
Michael Goldstein
The Bayes Linear Programming Language [B/D]
Journal of Statistical Software
author_facet David Wooff
Michael Goldstein
author_sort David Wooff
title The Bayes Linear Programming Language [B/D]
title_short The Bayes Linear Programming Language [B/D]
title_full The Bayes Linear Programming Language [B/D]
title_fullStr The Bayes Linear Programming Language [B/D]
title_full_unstemmed The Bayes Linear Programming Language [B/D]
title_sort bayes linear programming language [b/d]
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2000-04-01
description Bayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data. Particular emphasis is placed upon interpretation of and diagnostics for the specification. The approach is similar in spirit to the standard Bayes analysis, but is constructed so as to avoid much of the burden of specification and computation of the full Bayes case. This report is the first of a series describing Bayes linear methods. In this document, we introduce some of the basic machinery of the theory. Examples, computational issues, detailed derivations of results and approaches to belief elicitation will be addressed in related reports.
url http://www.jstatsoft.org/index.php/jss/article/view/2013
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