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随机环境中非齐次马氏链泛函的一类强极限定理 被引量:1

Some strong limit theorems for nonhomogenous Markov chains in random environments
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摘要 给出随机环境中马氏链的一般性构造定义,利用文献犤1犦中的方法,构造几乎处处收敛的上鞅,在适当的条件下,研究随机环境中非齐次马氏链泛函的强极限定理。 Give the constructive definition of Markov chains in random environments (MCRE), construct a.s. convergence super-martingale by means of truncation method proposed in . Suppose the sequence satisfies some conditions, some strong limit theorems on the functional of nonhomgenous Markov chains in random environments are discussed.
作者 汪忠志
出处 《安徽工业大学学报(自然科学版)》 CAS 2004年第1期79-82,共4页 Journal of Anhui University of Technology(Natural Science)
基金 安徽省教委科研项目(2002Kj054)
关键词 非齐次马氏链 上鞅 随机环境 强极限定理 几乎处处收敛 nonhomgenous Markov chains martingale random environment strong limit theorem
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参考文献6

  • 1Wen Liu, Jiaan Yan and Weiguo Yang. A Limit Theorem for Partial sums of Random Variables and its applications[J]. Statistics & Probability Letters, 2003, 62:79 - 86.
  • 2Seppalainen T. Large deviations for Markov chains with random transitions[J]. Annals Probability, 1994, 22:713 -748.
  • 3Cogburn R. on the general limits theorem for Markov chains with random transitions [J], Annals Probability 1990, 19:587 -604.
  • 4Stout, W, F. All most sure convergence[M]. Academic Press, New York, 1974.65; 76; 77.
  • 5Orey S. Markov chains with stochastically stationary transition probabilities [ J ]. Annals Probability, 199 l, 19 (3) : 907 - 928.
  • 6Martin P W Zerner and Franz Merkl. A zero -one law for planar random walks in random environment[J] . Annals Probability2001,29:1716-1732.

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