Binned semiparametric Bayesian networks for efficient kernel density estimation
arXiv:2506.21997v3 Announce Type: replace-cross
Abstract: 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 nonparametric distri…