Sequential updating of conditional probabilities on directed graphical structures
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Sequential updating of conditional probabilities on directed graphical structures. / SPIEGELHALTER, DJ; Lauritzen, Steffen L.
In: Networks, Vol. 20, No. 5, 1990, p. 579-605.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Sequential updating of conditional probabilities on directed graphical structures
AU - SPIEGELHALTER, DJ
AU - Lauritzen, Steffen L.
PY - 1990
Y1 - 1990
N2 - 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.
AB - 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.
U2 - 10.1002/net.3230200507
DO - 10.1002/net.3230200507
M3 - Journal article
VL - 20
SP - 579
EP - 605
JO - Networks
JF - Networks
SN - 0028-3045
IS - 5
ER -
ID: 128007466