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A strong limit theorem for the average of ternary functions of Markov chains in bi-infinite random environments

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成果类型:
期刊论文
作者:
Liu, Wei*;Ma, Chaoqun;Li, Yingqiu;Wang, Suming
通讯作者:
Liu, Wei
作者机构:
[Liu, Wei; Ma, Chaoqun] Hunan Univ, Sch Business, Changsha 410082, Hunan, Peoples R China.
[Li, Yingqiu] Changsha Univ Sci & Technol, Coll Math & Comp Sci, Changsha 410114, Hunan, Peoples R China.
[Wang, Suming] Dongguan Univ Technol, City Coll, Dept Comp & Informat Sci, Dongguan 523106, Peoples R China.
[Liu, Wei] Hunan Univ, Sch Business, Room A-404,11 South Lushan Rd, Changsha 410082, Hunan, Peoples R China.
通讯机构:
[Liu, Wei] H
Hunan Univ, Sch Business, Room A-404,11 South Lushan Rd, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
Bi-infinite random environment;Markov chain;Strong limit;Conditional relative entropy density
期刊:
Statistics & Probability Letters
ISSN:
0167-7152
年:
2015
卷:
100
页码:
12-18
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11171044]; Hunan Provincial Innovation Foundation For Postgraduate [CX2014B134, CX2014B388]; National Natural Science Innovation Research Group of China [71221001]
机构署名:
本校为其他机构
院系归属:
数学与统计学院
摘要:
We consider strong limit theorems for Markov chains in bi-infinite random environments. We first give a new proof of a strong limit theorem of Liu and Yang (1995) on the average of functions of non-homogeneous Markov chains by constructing a nonnegative martingale. As corollaries, for a Markov chain in a bi-infinite random environment, we obtain strong limit theorems for the conditional relative entropy and for the number of times that the Markov chain and related processes reac...

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