Comments on: hybrid semiparametric Bayesian networks

Stefan Sperlich ()
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Stefan Sperlich: University of Geneva

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2022, vol. 31, issue 2, No 4, 335-339

Abstract: Abstract This note comments on the article of David Atienza, Pedro Larrañaga and Concha Bielza in which they first review recent contributions to Bayesian networks and then introduce a new hybrid version. It combines parametric and nonparametric density estimates for continuous variables by simultaneously allowing for discrete parents. We discuss straightforward extensions of the linear Gaussian parts and potential smoothing over the outcomes of discrete parents and conclude with some minor comments.

Keywords: Bayesian networks; Semiparametric estimation; Statistical modeling; Conditional densities; 62G05; 68T01 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11749-022-00817-y

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