Algebraic Geometry of Bayesian Networks
Luis David García, Michael Stillman, Bernd Sturmfels · arXiv (Cornell University) · 2003
We study the algebraic varieties defined by the conditional independence statements of Bayesian Networks. A complete algebraic classification is given for Bayesian Networks on at most five random variables. Hidden variables are related to the geometry of higher secant varieties.