1. A system that facilitates statistical modeling, comprising a gradient determination component that utilizes a data set for a set of variables and probabilistic inference to determine parameter gradients for a log-likelihood of a conditional Gaussian (CG) graphical model over those variables with at least one continuous variable and with incomplete observation data for at least one of the variables.