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Title: A local convergence theorem for partial sums of stochastic adapted sequences (English)
Author: Yang, Weiguo
Author: Ye, Zhongxing
Author: Liu, Wen
Language: English
Journal: Czechoslovak Mathematical Journal
ISSN: 0011-4642 (print)
ISSN: 1572-9141 (online)
Volume: 56
Issue: 2
Year: 2006
Pages: 525-532
Summary lang: English
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Category: math
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Summary: In this paper we establish a new local convergence theorem for partial sums of arbitrary stochastic adapted sequences. As corollaries, we generalize some recently obtained results and prove a limit theorem for the entropy density of an arbitrary information source, which is an extension of case of nonhomogeneous Markov chains. (English)
Keyword: local convergence theorem
Keyword: stochastic adapted sequence
Keyword: martingale
MSC: 60F15
idZBL: Zbl 1164.60338
idMR: MR2291753
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Date available: 2009-09-24T11:35:09Z
Last updated: 2020-07-03
Stable URL: http://hdl.handle.net/10338.dmlcz/128083
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Reference: [1] P.  Algoat, T.  Cover: A sandwich proof of the Shannon-McMillan-Breiman theorem.Annals of Probability 16 (1988), 899–909. MR 0929085, 10.1214/aop/1176991794
Reference: [2] W.  Liu, J. A.  Yan, and W. G.  Yang: A limit theorem for partial sums of random variables and its applications.Statistics and Probability Letters 62 (2003), 79–86. MR 1965374, 10.1016/S0167-7152(02)00428-5
Reference: [3] W.  Liu: Some limit properties of the multivariate function sequences of discrete random variables.Statistics and Probability Letters 61 (2003), 41–50. Zbl 1016.60034, MR 1950452, 10.1016/S0167-7152(02)00304-8
Reference: [4] W.  Liu, W. G.  Yang: A limit theorem for the entropy density of nonhomogeneous Markov information source.Statistics and Probability Letters 22 (1995), 295–301. MR 1333187, 10.1016/0167-7152(94)00080-R
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