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Titel:

Iterative conditional fitting for Gaussian ancestral graph models

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Drton, Mathias; Richardson, Thomas S.
Abstract:
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property that is closed under conditioning and marginalization. By design, ancestral graphs encode precisely the conditional independence structures that can arise from Bayesian networks with selection and unobserved (hidden/latent) variables. Thus, ancestral graph models provide a potentially very useful framework for explorato...     »
Dewey Dezimalklassifikation:
510 Mathematik
Kongresstitel:
20th conference on Uncertainty in artificial intelligence
Kongress / Zusatzinformationen:
July 7-11, 2004; Banff, CAN
Zeitschriftentitel:
Proceedings of the 20th conference on Uncertainty in artificial intelligence (UAI-04)
Jahr:
2004
Seitenangaben Beitrag:
130–137
Sprache:
en
WWW:
UAI
Verlag / Institution:
AUAI Press
Verlagsort:
Arlington, Virginia, USA
Print-ISSN:
0-9749039-0-6
Format:
Text
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