High-dimensional mean testing addresses the problem of comparing population average vectors when the number of variables approaches or exceeds the sample size. Classical multivariate procedures, such ...
The rapid proliferation of high-dimensional data across genomics, neuroimaging and environmental studies has posed significant challenges to classical parametric inference. Multivariate nonparametric ...
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