On the toric algebra of graphical models

dc.creatorGeiger, Dan
dc.creatorMeek, Christopher
dc.creatorSturmfels, Bernd
dc.date2006-08-02
dc.date.accessioned2026-07-07T08:08:05Z
dc.date.available2026-07-07T08:08:05Z
dc.descriptionWe formulate necessary and sufficient conditions for an arbitrary discrete probability distribution to factor according to an undirected graphical model, or a log-linear model, or other more general exponential models. For decomposable graphical models these conditions are equivalent to a set of conditional independence statements similar to the Hammersley--Clifford theorem; however, we show that for nondecomposable graphical models they are not. We also show that nondecomposable models can have nonrational maximum likelihood estimates. These results are used to give several novel characterizations of decomposable graphical models.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000000263 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0608054
dc.identifierhttp://arxiv.org/abs/math/0608054
dc.identifierAnnals of Statistics 2006, Vol. 34, No. 3, 1463-1492
dc.identifierdoi:10.1214/009053606000000263
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131139
dc.subjectStatistics Theory
dc.subject60E05, 62H99 (Primary) 13P10, 14M25, 68W30 (Secondary)
dc.titleOn the toric algebra of graphical models
dc.typetext

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