Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees

In this study, we present a novel method for quantifying dependencies in multivariate datasets, based on estimating the Rényi mutual information by minimum spanning trees (MSTs). The extent to which random variables are dependent is an important question, e.g., for uncertainty quantification and sen...

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Detalles Bibliográficos
Autores principales: Eggels, Anne, Crommelin, Daan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514583/
https://www.ncbi.nlm.nih.gov/pubmed/33266816
http://dx.doi.org/10.3390/e21020100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514583/
https://www.ncbi.nlm.nih.gov/pubmed/33266816
http://dx.doi.org/10.3390/e21020100

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