Probabilistic Inference in Piecewise Graphical Models
In many applications of probabilistic inference the models contain piecewise densities that are differentiable except at partition boundaries. For instance, (1) some models may intrinsically have finite support, being constrained to some regions; (2) arbitrary density functions may be approximated by mixtures of piecewise functions such as piecewise polynomials or piecewise exponentials; (3) distributions derived from other distributions (via random variable...[Show more]
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