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厚尾相依序列的均值变点估计
引用本文:韩四儿,田铮,王红军.厚尾相依序列的均值变点估计[J].应用概率统计,2008,24(4):337-344.
作者姓名:韩四儿  田铮  王红军
作者单位:1. 西北工业大学应用数学系,西安,710072
2. 西北工业大学应用数学系,西安,710072;模式识别国家重点实验室,中国科学院自动化研究所,北京,100080
摘    要:本文研究了厚尾相依序列的均值变点估计. 证明了变点的CUSUM估计的一致性并得到了收敛速度.在方差无穷的情况下推广了H\'{a}jek--R\'{e}nyi不等式.

关 键 词:变点估计  厚尾  H\'{a}jek-R\'{e}nyi不等式.

Change-Point in the Mean of Heavy-Tailed Dependent Observations
Han Sier,Tian Zheng,Wang Hongjun.Change-Point in the Mean of Heavy-Tailed Dependent Observations[J].Chinese Journal of Applied Probability and Statisties,2008,24(4):337-344.
Authors:Han Sier  Tian Zheng  Wang Hongjun
Institution:Department of Mathematics, Northwestern Polytechnical University; National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
Abstract:This paper studies the problem of mean change point in heavy-tailed dependent observations. We prove the consistency of CUSUM estimator of change-point and derive the rate of convergence. A H\'{a}jek-R\'{e}nyi type inequality is also proved. Results are obtained under weak moment assumptions.
Keywords:Change-point estimation  heavy-tails
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