KU ScholarWorks >
School of Business >
School of Business Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/750
View usage statistics

Title: Probability Propagation
Authors: Shafer, Glenn R.
Shenoy, Prakash P.
Keywords: probability propagation
local computation
hypertree
construction sequence
Markov tree
parallel processing
Issue Date: Mar-1990
Publisher: Annals of Mathematics and Artificial Intelligence
Extent: 249967 bytes
Type: Article
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.
Abstract: 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.
URI: http://hdl.handle.net/1808/750
ISSN: 1012-2443
Appears in Collections:School of Business Articles

Files in this Item:

File Description SizeFormat
AMAI90.pdf244.11 kBAdobe PDFView/Open