Factorization of Discrete Probability Distributions
  We formulate necessary and sufficient conditions for an arbitrary discrete
probability distribution to factor according to an undirected graphical model,
or a log-linear model, or other more general exponential models. This result
generalizes the well known Hammersley-Clifford Theorem.
