摘要

Let X, X (1) , X (2) , . . . be a sequence of strictly stationary I center dot-mixing random variables with zero means. In this paper, we show that a self-normalized version of almost sure central limit theorem holds under the assumptions that the mixing coefficients satisfy ; moreover, we no longer restrict ourselves to logarithmic averages, but allow rather arbitrary weight sequences.

全文