Dirichlet process mixtures within semiparametric Bayesian networks for conditional density estimation
Read the original at arxiv.org→arXiv:2610.36110v1 Announce Type: new Abstract: Semiparametric Bayesian networks (SPBNs) are flexible probabilistic graphical models for representing joint distributions of continuous variables through...
Original headline: "Dirichlet Process Mixtures within Semiparametric Bayesian Networks: A Novel Conditional Density Estimation Approach"
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- Oct 28, 04:00 UTC arXiv cs.LG lead source Dirichlet Process Mixtures within Semiparametric Bayesian Networks: A Novel Conditional Density Estimation Approach