International Journal of Mathematics and Mathematical Sciences
Volume 29 (2002), Issue 3, Pages 125-131
doi:10.1155/S0161171202011626
Almost sure central limit theorems for strongly mixing and associated random variables
Department of Mathematical Sciences, University of Cincinnati, Cincinnati 45221-0025, OH, USA
Received 24 January 2001; Revised 9 June 2001
Copyright © 2002 Khurelbaatar Gonchigdanzan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We prove an almost sure central limit theorem (ASCLT) for
strongly mixing sequence of random variables with a slightly slow
mixing rate α(n)=O((loglogn)−1−δ). We also
show that ASCLT holds for an associated sequence of random
variables without a stationarity assumption.