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    Probability Propagation

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    AMAI90.pdf (244.1Kb)
    Issue Date
    1990-03
    Author
    Shafer, Glenn R.
    Shenoy, Prakash P.
    Publisher
    Annals of Mathematics and Artificial Intelligence
    Format
    249967 bytes
    Type
    Article
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    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
    Collections
    • Distinguished Professors Scholarly Works [918]
    • School of Business Scholarly Works [213]
    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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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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