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马氏环境中马氏链的一个概率不等式及其应用

贾兆丽 于春华

数学杂志2011,Vol.31Issue(5):865-868,4.
数学杂志2011,Vol.31Issue(5):865-868,4.

马氏环境中马氏链的一个概率不等式及其应用

A PROBABILITY INEQUALITY OF MARKOV CHAINS IN MARKOVIAN ENVIRONMENTS AND ITS APPLICATION

贾兆丽 1于春华1

作者信息

  • 1. 合肥工业大学数学学院,安徽合肥230009
  • 折叠

摘要

Abstract

In this article, we study a probability inequality for the sum of random variables of Markov Chains in Markovian environments. By using the method of truncation, we obtain the tail probability inequality for the sum of random variables of Markov Chains in Markovian environments. As an application of the results, a strong law of large numbers for function of countable Markov Chains in Markovian environments on the probability space (S,S ∩ ξ , Ps) is given. The method proposed and the results of the article are quite useful in the study of the large sample properties for the sums on independent random variables.

关键词

马氏环境中马氏链/概率不等式/强大数定律

Key words

Markov Chains in Markovian environments/probability inequality/strong law of large numbers

分类

数理科学

引用本文复制引用

贾兆丽,于春华..马氏环境中马氏链的一个概率不等式及其应用[J].数学杂志,2011,31(5):865-868,4.

基金项目

安徽高校省级自然科学研究项目(KJ2011A212) (KJ2011A212)

合肥工业大学科学研究发展基金(2009HGXJ0056) (2009HGXJ0056)

安徽省税务发展研究基金(2010QTXM0277). (2010QTXM0277)

数学杂志

OA北大核心CSCDCSTPCD

0255-7797

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