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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
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votes
A Kernel Two Sample Test and Curse of Dimensionality
Check this paper:
"On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions" …