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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 G statistic as a sum of joint entropy terms, its computation is decomposed into easily reusab...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619989/ https://www.ncbi.nlm.nih.gov/pubmed/34828198 http://dx.doi.org/10.3390/e23111501 |