MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions

This paper introduces MoTBFs, an R package for manipulating mixtures of truncated basis functions. This class of functions allows the representation of joint probability distributions involving discrete and continuous variables simultaneously, and includes mixtures of truncated exponentials and mixt...

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Bibliografische gegevens
Hoofdauteurs:	Maldonado González, Ana Devaki, Salmerón Cerdán, Antonio, Pérez Bernabé, Inmaculada, Nielsen, Thomas Dyhre
Formaat:	info:eu-repo/semantics/article
Taal:	English
Gepubliceerd in:	The R Foundation 2023
Online toegang:	http://hdl.handle.net/10835/14822

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