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Sequential updating of conditional probabilities on directed graphical structures

Publikation: Bidrag til tidsskriftTidsskriftartikel

A directed acyclic graph or influence diagram is frequently used as a representation for qualitative knowledge in some domains in which expert system techniques have been applied, and conditional probability tables on appropriate sets of variables form the quantitative part of the accumulated experience. It is shown how one can introduce imprecision into such probabilities as a data base of cases accumulates. By exploiting the graphical structure, the updating can be performed locally, either approximately or exactly, and the setup makes it possible to take advantage of a range of well-established statistical techniques. As examples we discuss discrete models, models based on Dirichlet distributions and models of the logistic regression type.
OriginalsprogEngelsk
TidsskriftNetworks
Vol/bind20
Udgave nummer5
Sider (fra-til)579-605
Antal sider27
ISSN0028-3045
DOI
StatusUdgivet - 1990
Eksternt udgivetJa

ID: 128007466