Probability Propagation

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Issue Date
1990-03Author
Shafer, Glenn R.
Shenoy, Prakash P.
Publisher
Annals of Mathematics and Artificial Intelligence
Format
249967 bytes
Type
Article
Metadata
Show full item recordAbstract
In this paper we give a simple account of local computation of marginal probabilities for when the joint probability distribution is given in factored form and the sets of variables involved in the factors form a hypertree. Previous expositions of such local computation have emphasized conditional probability. We believe this emphasis is misplaced. What is essential to local computation is a factorization. It is not essential that this factorization be interpreted in terms of conditional probabilities. The account given here avoids the divisions required by conditional probabilities and generalizes readily to alternative measures of subjective probability, such Dempster-Shafer or Spohnian belief functions.
ISSN
1012-2443Collections
Citation
Shafer, G. R. and P. P. Shenoy, "Probability Propagation," Annals of Mathematics and Artificial Intelligence, Vol. 2, Nos. 1--4, 1990, pp. 327--351.
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