Application of a Hermite-based measure of non-Gaussianity to normality tests and independent component analysis

In the analysis of neural data, measures of non-Gaussianity are generally applied in two ways: as tests of normality for validating model assumptions and as Independent Component Analysis (ICA) contrast functions for separating non-Gaussian signals. Consequently, there is a wide range of methods for...

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Detalles Bibliográficos
Autores principales: Jain, Parul, Knight, Bruce W., Victor, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160407/
https://www.ncbi.nlm.nih.gov/pubmed/37153535
http://dx.doi.org/10.3389/fninf.2023.1113988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160407/
https://www.ncbi.nlm.nih.gov/pubmed/37153535
http://dx.doi.org/10.3389/fninf.2023.1113988

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