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Probabilistic Conditional Independence Structures: With 42 Illustrations (Information Science and Statistics)
Logical inference algorithms and matrix representations for probabilistic conditional independence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Efficient Algorithms for Conditional Independence Inference
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On open questions in the geometric approach to structural learning Bayesian nets
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Relations among conditional probabilities
Journal of Symbolic Computation
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Semi-graphoids are combinatorial structures that arise in statistical learning theory. They are equivalent to convex rank tests and to polyhedral fans that coarsen the reflection arrangement of the symmetric group Sn. In this paper we resolve two problems on semi-graphoids posed in Studený's book (2005), and we answer a related question of Postnikov, Reiner and Williams on generalized permutohedra. We also study the semigroup and the toric ideal associated with semi-graphoids.