Invariance principle for independent random variables with infinite variance

Abstract

A functional central limit theorem for self-normalized adaptive process U−1m,N ζn is considered, where Um,N is a sum of squares of block-sums of size m, as m and the number of blocks N = n/m tend to infinity.

Keywords

• adaptive process
• domain of attraction
• normal law
• series scheme