We present a new approach to exact probabilistic inferene in hybrid Bayesian networks---networks that contain both continuous and discrete variables. The method is the first exact inference method that allows for discrete variables to have continuous variables as parents and non-linear relationships among continuous variables. The family of distributions to which our method can be applied include those defined by a CART network---Bayesian networks in which the local structure associated with each variable is either a classification or regression tree.

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