Hypothesis testing using pairwise distances and associated kernels
We provide a unifying framework linking two classes of statistics used in two-sample and independence testing: on the one hand, the energy distances and distance covariances from the statistics literature; on the other, distances between embeddings of distributions to reproducing kernel Hilbert spac...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
2012
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