Valuation-Based Systems for Bayesian Decision Analysis
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Issue Date
1992-05Author
Shenoy, Prakash P.
Publisher
Operations Research Society of America
Format
3665809 bytes
Type
Article
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Show full item recordAbstract
This 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
ISSN
0030-364XCollections
Citation
Shenoy, P. P., "Valuation-Based Systems for Bayesian Decision Analysis," Operations Research, Vol. 40, No. 3, May-June 1992, pp. 463--484.
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