Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing

Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods that define the pairwise connections of a graph from the precision matrix were corres...

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Detalles Bibliográficos
Autores principales: Belda, Jordi, Vergara, Luis, Safont, Gonzalo, Salazar, Addisson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514127/
https://www.ncbi.nlm.nih.gov/pubmed/33266738
http://dx.doi.org/10.3390/e21010022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514127/
https://www.ncbi.nlm.nih.gov/pubmed/33266738
http://dx.doi.org/10.3390/e21010022

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