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 ...
Statistical inference for high-dimensional random processes addresses the problem of making reliable conclusions when the number of variables or dimensions grows as fast as, or faster than, the sample ...
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