摘要
本文研究随机环境中马氏链函数的极限定理,给出随机环境中马氏链函数的强大数定律以及加权和强收敛性成立的一系列充分条件.
In this paper,the limit theorems for function of Markov chains in random environments are investigated.Moreover,some sufficient conditions for the strong law of large numbers and the strong convergence of the weighted sums to hold for function of Markov chains in random environments are obtained.
出处
《应用数学》
CSCD
北大核心
2010年第3期618-624,共7页
Mathematica Applicata
关键词
随机环境
马氏链
强大数定律
加权和的强收敛性
Random environments
Markov chains
Strong law of large numbers
Strong convergence for the weighted sums
