Binned semiparametric Bayesian networks for efficient kernel density estimation

Rafael Sojo, Javier Díaz-Rozo, Concha Bielza +1

This paper introduces a new type of probabilistic semiparametric model that takes advantage of data binning to reduce the computational cost of kernel density estimation in nonpara…