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dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-21T03:55:13Z
dc.date.available2004-12-21T03:55:13Z
dc.date.issued1992-05
dc.identifier.citationShenoy, P. P., "Valuation-Based Systems for Bayesian Decision Analysis," Operations Research, Vol. 40, No. 3, May-June 1992, pp. 463--484.
dc.identifier.issn0030-364X
dc.identifier.urihttp://hdl.handle.net/1808/183
dc.description.abstractThis paper proposes a new method for representing and solving Bayesian decision problems. The representation is called a valuation-based system and has some similari¬ties to influence diagrams. However, unlike influence diagrams which emphasize conditional independence among random variables, valuation-based systems emphasize factorizations of joint probability distributions. Also, whereas influence diagram representation allows only conditional probabilities, valuation-based system representation allows all probabilities. The solution method is a hybrid of local computational methods for computation of marginals of joint probability distributions and the local computational methods for discrete optimization problems. We briefly compare our representation and solution methods to those of influence diagrams
dc.format.extent3665809 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherOperations Research Society of America
dc.subjectDecision analysis
dc.subjectRepresentation of decision problems
dc.subjectDynamic programming
dc.subjectValuation networks
dc.subjectLocal computation
dc.titleValuation-Based Systems for Bayesian Decision Analysis
dc.typeArticle
dc.identifier.orcidhttps://orcid.org/0000-0002-8425-896X
dc.rights.accessrightsopenAccess


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