Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse

This article presents a novel and remarkably efficient method of computing the statistical G-test made possible by exploiting a connection with the fundamental elements of information theory: by writing the <i>G</i> statistic as a sum of joint entropy terms, its computation is decomposed...

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Autores principales: Camil Băncioiu, Remus Brad
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Q
Acceso en línea:https://doaj.org/article/2a57924c93f741e0b2061a803f960863
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