A new MOD test uses the maximum of standardized squared differences in within- versus between-sample connection probabilities from pairwise distances to compare K-sample multivariate distributions, with a covariance-adjusted version converging to the Type I extreme value distribution.
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Maximum-of-Differences Test for Comparing Multivariate K-Sample Distributions
A new MOD test uses the maximum of standardized squared differences in within- versus between-sample connection probabilities from pairwise distances to compare K-sample multivariate distributions, with a covariance-adjusted version converging to the Type I extreme value distribution.