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| Title: | Valuation-Based Systems for Bayesian Decision Analysis |
| Authors: | Shenoy, Prakash P. |
| Keywords: | Decision Analysis
Representation of decision problems
Dynamic programming
valuation networks
local computation |
| Issue Date: | May-1992 |
| Publisher: | Operations Research Society of America |
| Extent: | 3665809 bytes |
| Type: | Article |
| Citation: | Shenoy, P. P., "Valuation-Based Systems for Bayesian Decision Analysis," Operations Research, Vol. 40, No. 3, May-June 1992, pp. 463--484. |
| Abstract: | 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 |
| URI: | http://hdl.handle.net/1808/183 |
| ISSN: | 0030-364X |
| Appears in Collections: | School of Business Articles
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