This chapter describes extensions of graphical models with continuous values to the case where the linearity assumption is relaxed. These are known as nonlinear graphical models. For reasons explained in Section 2.5, nonlinear graphical model suit well to be handled using variational Bayesian methods.
Section 4.1 describes variational Bayesian methods in general and the rest of the chapter describes some particular models.