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Convergence in probability of sample covariance for permutation invariant triangular arrays

stackrel{d}{=} (X_{N,\sigma (1)},\ldots,X_{N,\sigma(N)}) $$ $$ (Y_{N,1},\ldots,Y_{N,N}) \stackrel{d}{=} (Y_{N,\sigma (1)},\ldots,Y_{N,\sigma(N)}) $$ There are finite constants $a_n,b_n$ such that the sample moments … If the random variables have finite moments and if there were finite constants $a',b'$ such that $$ \mathbb{E}\left[ \frac1N \sum_{i=1}^N X_{N,i} \right] \to a' $$ $$ \mathbb{E}\left[ \frac1N \sum_{i= …
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