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PRam
  • Member for 11 years, 9 months
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Concentration of sum of pairwise squared Euclidean distances of random vectors
@cardinal Thanks for the pointer to U-statistic. The function is basically a V-statistic (in this case, it is same as the U-statistic barring a normalization factor). The results for the concentration of U-statistics (and V-statistics) generally show that $\epsilon \sim O(1/\sqrt{n})$ but can be improved to $O(1/n)$ at best with Berstein style results. It appears that I might not be able to do better than $\epsilon \sim O(1/n)$.
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