摘要:Staged tree models are a discrete generalization of Bayesian networks. We show that these form curved exponential families and derive their natural parameters, sufficient statistic, and cumulant-generating function as functions of their graphical representation. We give necessary and sufficient graphical criteria for classifying regular subfamilies and discuss implications for model selection.
关键词:62H99;68T99;Bayesian Information Criterion;chain event graph;curved exponential family;Graphical model;staged tree