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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Lectures and Presetations
On Markov Equivalence of Chain Graphs.
Lecturer:
Alberto Roverato (Univ. of Modena and Reggio Emilia)
From:
Apr. 19 2005 2:00PM
To:
Apr. 19 2005 3:30PM
Place:
ÚTIA AV ČR
Description:
souhrn:
A Markov property associates a set of conditional independencies to a graph. Two alternative Markov properties are available for chain graphs, the LWF and the AMP Markov property, which are different in general but coincide for the subclass of chain graphs with no flags. Markov equivalence induces partition of the class of chain graphs into equivalence classes. We consider the problem of the graphical characterization of equivalence classes of chain graphs by means of a suitable representative and, in particular, provide an unified approach to the problem that encompasses several existing results, providing in this way a unified view to the subject.
A Markov property associates a set of conditional independencies to a graph. Two alternative Markov properties are available for chain graphs, the LWF and the AMP Markov property, which are different in general but coincide for the subclass of chain graphs with no flags. Markov equivalence induces partition of the class of chain graphs into equivalence classes. We consider the problem of the graphical characterization of equivalence classes of chain graphs by means of a suitable representative and, in particular, provide an unified approach to the problem that encompasses several existing results, providing in this way a unified view to the subject.
Contact person:
Within the event:
Pravidelný seminář Inteligentní systémy (Contact person: Tomáš Kroupa)