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We present a new kind of structural Markov property for probabilistic laws ondecomposable graphs, which allows the explicit control of interactions betweencliques, so is capable of encoding some interesting structure. We prove theequivalence of this property to an exponential family assumption, and discussidentifiability, modelling, inferential and computational implications.

A structural Markov property for decomposable graph laws that allows control of clique intersections