A fast kernel independence test for cluster-correlated data

Cluster-correlated data receives a lot of attention in biomedical and longitudinal studies and it is of interest to assess the generalized dependence between two multivariate variables under the cluster-correlated structure. The Hilbert–Schmidt independence criterion (HSIC) is a powerful kernel-base...

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Detalles Bibliográficos
Autores principales: Song, Hoseung, Liu, Hongjiao, Wu, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755291/
https://www.ncbi.nlm.nih.gov/pubmed/36522522
http://dx.doi.org/10.1038/s41598-022-26278-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755291/
https://www.ncbi.nlm.nih.gov/pubmed/36522522
http://dx.doi.org/10.1038/s41598-022-26278-9

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