Almost sure central limit theorems for strongly mixing and associated random variables

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.

Bibliographic Details
Main Author: Khurelbaatar Gonchigdanzan
Format: Article
Language:English
Published: Hindawi Limited 2002-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/S0161171202011626
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spelling doaj-3fe388c636b14a8b8e6d3f873fd94b3f2020-11-25T00:17:14ZengHindawi LimitedInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252002-01-0129312513110.1155/S0161171202011626Almost sure central limit theorems for strongly mixing and associated random variablesKhurelbaatar Gonchigdanzan0Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45221-0025, USAWe 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.http://dx.doi.org/10.1155/S0161171202011626
collection DOAJ
language English
format Article
sources DOAJ
author Khurelbaatar Gonchigdanzan
spellingShingle Khurelbaatar Gonchigdanzan
Almost sure central limit theorems for strongly mixing and associated random variables
International Journal of Mathematics and Mathematical Sciences
author_facet Khurelbaatar Gonchigdanzan
author_sort Khurelbaatar Gonchigdanzan
title Almost sure central limit theorems for strongly mixing and associated random variables
title_short Almost sure central limit theorems for strongly mixing and associated random variables
title_full Almost sure central limit theorems for strongly mixing and associated random variables
title_fullStr Almost sure central limit theorems for strongly mixing and associated random variables
title_full_unstemmed Almost sure central limit theorems for strongly mixing and associated random variables
title_sort almost sure central limit theorems for strongly mixing and associated random variables
publisher Hindawi Limited
series International Journal of Mathematics and Mathematical Sciences
issn 0161-1712
1687-0425
publishDate 2002-01-01
description 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.
url http://dx.doi.org/10.1155/S0161171202011626
work_keys_str_mv AT khurelbaatargonchigdanzan almostsurecentrallimittheoremsforstronglymixingandassociatedrandomvariables
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