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...

書誌詳細
主要な著者:	Maldonado González, Ana Devaki, Salmerón Cerdán, Antonio, Pérez Bernabé, Inmaculada, Nielsen, Thomas Dyhre
フォーマット:	info:eu-repo/semantics/article
言語:	English
出版事項:	The R Foundation 2023
オンライン･アクセス:	http://hdl.handle.net/10835/14822

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