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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |