  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.
