2021
A Kernel-based Test of Independence for Cluster-correlated Data
NeurIPS 2021poster
The Hilbert-Schmidt Independence Criterion (HSIC) is a powerful kernel-based statistic for assessing the generalized dependence between two multivariate variables. However, independence testing based on the HSIC is not directly possible for cluster-correlated data. Such a correlation pattern among t…