Robert Cowell, A. Philip Dawid, Steffen L. Lauritzen, and David J. Spiegelhalter. Probabilistic Networks and Expert Systems. Springer, New York, 1999.
Luis David Garcia, Michael Stillman, and Bernd Sturmfels. Algebraic geometry of bayesian networks. Journal of Symbolic Computation, 39(3-4):331-355, 2005. (Pubitemid 40373617)
Luis David Garcia. Algebraic statistics in model selection. In Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI-04), pages 177-184, Arlington, Virginia, 2004. AUAI Press.
Dan Geiger, David Heckerman, Henry King, and Christopher Meek. Stratified exponential families: Graphical models and model selection. The Annals of Statistics, 29:505-529, 2001.
Dan Geiger. Graphical models and exponential families. In Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence (UAI-98), pages 156-165, San Francisco, CA, 1998. Morgan Kaufmann Publishers.
Daniel Lowd and Pedro Domingos. Naive bayes models for probability estimation. In Luc de Raedt and Stefan Wrobel, editors, Proceedings of 22nd International Conference on Machine Learning, pages 529-536, August 2005. (Pubitemid 43183375)
Judea Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, San Mateo, 1988.
Raffaella Settimi and Jim Q. Smith. Geometry, moments and conditional independence trees with hidden variables. The Annals of Statistics, 28:1179-1205, 2000. (Pubitemid 33228604)
