Geometric Estimation of Multivariate Dependency

This paper proposes a geometric estimator of dependency between a pair of multivariate random variables. The proposed estimator of dependency is based on a randomly permuted geometric graph (the minimal spanning tree) over the two multivariate samples. This estimator converges to a quantity that we...

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Detalles Bibliográficos
Autores principales: Yasaei Sekeh, Salimeh, Hero, Alfred O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515316/
https://www.ncbi.nlm.nih.gov/pubmed/33267500
http://dx.doi.org/10.3390/e21080787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515316/
https://www.ncbi.nlm.nih.gov/pubmed/33267500
http://dx.doi.org/10.3390/e21080787

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