面板数据公共变点的非参数最大似然估计
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  • 英文篇名:Nonparametric maximum likelihood estimation method for common change point in panel data
  • 作者:高鹏丽 ; 夏志明
  • 英文作者:Gao Pengli;Xia Zhiming;School of Mathematics, Northwest University;
  • 关键词:面板数据 ; 变点 ; 非参数最大似然 ; 相合性
  • 英文关键词:panel data;;change point;;nonparametric maximum likelihood;;consistency
  • 中文刊名:CCSX
  • 英文刊名:Pure and Applied Mathematics
  • 机构:西北大学数学学院;
  • 出版日期:2019-06-25
  • 出版单位:纯粹数学与应用数学
  • 年:2019
  • 期:v.35
  • 基金:国家自然科学基金(11771353)
  • 语种:中文;
  • 页:CCSX201902006
  • 页数:8
  • CN:02
  • ISSN:61-1240/O1
  • 分类号:60-67
摘要
用非参数最大似然的方法研究了面板数据中带有单个公共变点的问题,估计了变点的位置,并且证明了变点估计量的相合性,得到了收敛速率.
        In this paper, we study the problem of a single common change point in panel data. We estimate the common change point by nonparametric maximum likelihood method. When the number of sequences and the number of observations of each sequence tend to infinity, we prove the consistency of the change point estimator and obtain the corresponding convergence rate.
引文
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