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随机有序马尔可夫链收敛速度显式界的注记
引用本文:符方健. 随机有序马尔可夫链收敛速度显式界的注记[J]. 数学的实践与认识, 2010, 40(20)
作者姓名:符方健
基金项目:国家自然科学基金,海南省自然科学基金
摘    要:弱化Scott与Tweedie在计算马氏链收敛速度界时的条件,即变一步转移概率为m(m≥1)步转移概率,并运用不同于Scott与Tweedie的方法,计算出马氏链几何收敛速度r~n的界,从而推广了已有的结论.

关 键 词:马尔可夫链  m-骨架  漂移不等式  f-遍历  收敛速度

Notes on Explicit Bounds for Convergence Rates of Stochastically Ordered Markov Chains
FU Fang-jian. Notes on Explicit Bounds for Convergence Rates of Stochastically Ordered Markov Chains[J]. Mathematics in Practice and Theory, 2010, 40(20)
Authors:FU Fang-jian
Abstract:Scott and Tweedie find condition under which there are bounds on the conve'rgence rates of Markov chains.This paper is an attempt to weaken that condition,that is,I manage to change one-step transition probability into m-step transition probability.At the same time,by using the different means from Scott and Tweedie,I compute the bounds for geometric convergence rates r~n of Markov chains,and therefore generalize the existent results.
Keywords:Markov chains  m-skeleton  drift inequality  f-ergodic  convergence rate
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