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An alternative characterization of a Bayesian network

✍ Scribed by S.K.M. Wong; T. Lin

Book ID
104347827
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
143 KB
Volume
33
Category
Article
ISSN
0888-613X

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✦ Synopsis

To build a Bayesian network (BN), one may directly construct a directed acyclic graph (DAG) based on the causal relationships of the domain variables. However, it may be necessary in many applications to construct a DAG from the conditional independencies (CIs) supplied by different sources or experts. In this paper we provide an alternative characterization of the graphical structure of a BN. Based on this characterization, one can easily test whether an arbitrary set of CIs can be faithfully represented by a DAG.

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