Hilbert-space central limit theorem
= Hilbert-space central limit theorem
{c}
For <independent> identically distributed centered <random variables> in a separable <Hilbert space> with finite second <moment>, $n^{-1/2}\sum_{i=1}^nX_i$ converges in distribution to a centered <Gaussian random element> with the same <covariance operator>.