Abstract
In this paper, we propose an estimator of the generalized maximum mean discrepancy between several probability distributions, constructed by modifying a naive estimator. Asymptotic normality is obtained for this estimator both under equality of these distributions and under the alternative hypothesis, so allowing to achieve a k-sample test for equality of distributions. A simulation study that allows to compare the proposed test to existing ones is provided.
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