Wasserstein-2 bounds in normal approximation under local dependence

Abstract

We obtain a general bound for the Wasserstein-2 distance in normal approximation for sums of locally dependent random variables. The proof is based on an asymptotic expansion for expectations of second-order differentiable functions of the sum. We apply the main result to obtain Wasserstein-2 bounds in normal approximation for sums of m-dependent random variables, U-statistics and subgraph counts in the Erdos-R\'enyi random graph. We state a conjecture on Wasserstein-p bounds for any positive integer p and provide supporting arguments for the conjecture.

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