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Marginalization and conditioning for LWF chain graphs

dc.creatorSadeghi, Kayvan
dc.date.accessioned2016-02-05
dc.date.accessioned2018-11-24T23:27:32Z
dc.date.available2017-09-14T13:10:53Z
dc.date.available2018-11-24T23:27:32Z
dc.date.issued2016-08
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/267222
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/3998
dc.description.abstractIn this paper, we deal with the problem of marginalization over and conditioning on two disjoint subsets of the node set of chain graphs (CGs) with the LWF Markov property. For this purpose, we define the class of chain mixed graphs (CMGs) with three types of edges and, for this class, provide a separation criterion under which the class of CMGs is stable under marginalization and conditioning and contains the class of LWF CGs as its subclass. We provide a method for generating such graphs after marginalization and conditioning for a given CMG or a given LWF CG. We then define and study the class of anterial graphs, which is also stable under marginalization and conditioning and contains LWF CGs, but has a simpler structure than CMGs.
dc.publisherInstitute of Mathematical Statistics
dc.publisherAnnals of Statistics
dc.subjectc-separation criterion
dc.subjectchain graph
dc.subjectindependence model
dc.subjectLWF Markov property
dc.subjectm-separation
dc.subjectmarginalization and conditioning
dc.subjectmixed graph
dc.titleMarginalization and conditioning for LWF chain graphs
dc.typeArticle


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