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隐非齐次马尔可夫模型的强大数定律 被引量:1

STRONG LAW OF LARGE NUMBER OF HIDDEN NONHOMOGENEOUS MARKOV MODELS
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摘要 本文研究了一类隐非齐次马尔可夫模型的强极限定理.利用鞅差序列收敛定理,获得了观测链{Y_n,n≥0}的强大数定律,并给出了观测链的Shannon-McMillan定理. In this article,the strong limit theorem of hidden nonhomogeneous Markov models is discussed.By the martingale difference theorem,the strong law of large number of the observed chain is proved,and the Shannon-McMillan theorem of the observed chain is given.
出处 《数学杂志》 CSCD 北大核心 2011年第2期314-322,共9页 Journal of Mathematics
基金 国家自然科学基金资助(10571076 10826098)
关键词 隐马尔可夫模型 非齐次马尔可夫链 强大数定律 *-混合 hidden Markov models nonhomogeneous Markov chain strong law of large numbers *-mixing
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参考文献11

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同被引文献11

  • 1龚光鲁,钱敏平.应用随机过程[M].北京:清华大学出版社,2004.
  • 2Lacrz B, Lasala P, Lekuona A. Dynamic graphical models and nonhomogeneous hidden Markov models [J].Stat. Probab. Letts., 2000,49:377-385.
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