Modeling Categorical Variables by Mutual Information Decomposition

This paper proposed the use of mutual information (MI) decomposition as a novel approach to identifying indispensable variables and their interactions for contingency table analysis. The MI analysis identified subsets of associative variables based on multinomial distributions and validated parsimon...

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Detalles Bibliográficos
Autores principales: Liou, Jiun-Wei, Liou, Michelle, Cheng, Philip E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217765/
https://www.ncbi.nlm.nih.gov/pubmed/37238505
http://dx.doi.org/10.3390/e25050750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217765/
https://www.ncbi.nlm.nih.gov/pubmed/37238505
http://dx.doi.org/10.3390/e25050750

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