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Some Strong Limit Theorems for Even-odd Markov Chain Fields Indexed by Trees
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作者 MA Li-na CHEN Shuang +1 位作者 LUO Yun-ling LI Nai-hua 《Chinese Quarterly Journal of Mathematics》 CSCD 2010年第4期550-558,共9页
First,a class of strong limit theorems are proved by constructing two nonnegative martingales.Then they are applied to the study of all kinds of even-odd Markov chain fields and Markov chain fields defined in the pape... First,a class of strong limit theorems are proved by constructing two nonnegative martingales.Then they are applied to the study of all kinds of even-odd Markov chain fields and Markov chain fields defined in the paper.Finally,some strong limit theorems for the even-odd Markov chain fields and Markov chain fields are obtained. 展开更多
关键词 strong limit theorem even-odd Markov chain fields generalized Bethe tree
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ON THE ALMOST EVERYWHERE CONVERGENCE FOR ARBITRARY STOCHASTIC SEQUENCE 被引量:1
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作者 杨卫国 陶林零 程小军 《Acta Mathematica Scientia》 SCIE CSCD 2014年第5期1634-1642,共9页
The purpose of this paper is to establish a class of strong limit theorems for arbitrary stochastic sequences. As corollaries, we generalize some known results.
关键词 strong limit theorem stochastic sequence MARTINGALE
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Tree-Indexed Markov Chains in Random Environment and Some of Their Strong Limit Properties
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作者 Zhiyan SHI Bei WANG +1 位作者 Weiguo YANG Zhongzhi WANG 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2022年第4期621-642,共22页
In this paper,the authors first introduce the tree-indexed Markov chains in random environment,which takes values on a general state space.Then,they prove the existence of this stochastic process,and develop a class o... In this paper,the authors first introduce the tree-indexed Markov chains in random environment,which takes values on a general state space.Then,they prove the existence of this stochastic process,and develop a class of its equivalent forms.Based on this property,some strong limit theorems including conditional entropy density are studied for the tree-indexed Markov chains in random environment. 展开更多
关键词 Random environment Tree-indexed Markov chains strong limit theorem Conditional entropy density
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A STRONG LIMIT THEOREM FOR GENERALIZED CANTOR-LIKE RANDOM SEQUENCES
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作者 刘文 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1996年第3期328-331,共4页
Let {qn, } be a sequence of positive integers, and In={0,1,..,qn}. The sequence of random variables {Xn, n0} is called a Cantor-like random sequence if for every n,Xn takes on values in In, and p(X0=x0,…Xn=xn)>0,T... Let {qn, } be a sequence of positive integers, and In={0,1,..,qn}. The sequence of random variables {Xn, n0} is called a Cantor-like random sequence if for every n,Xn takes on values in In, and p(X0=x0,…Xn=xn)>0,The purpose of this paper is to give a strong limit theorem for these sequences. 展开更多
关键词 strong limit theorem strong law of large numbers a generalized Cantor-like random sequence
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