Xinsheng Liu
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Detection of multiple change points for linear processes under negatively super-additive dependence
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Affiliation of Author(s):航空学院

Journal:JOURNAL OF INEQUALITIES AND APPLICATIONS

Key Words:Multiple change points Linear processes under NSD Variance change CUSUM-type estimation Weak convergence rate

Abstract:This paper focuses on the issue of detecting the multiple change points for linear processes under negatively super-additive dependence (NSD). We propose a CUSUM-type method in the multiple variance change model and establish the weak convergence rate of the change points estimation. To carry out this method, we give a multiple variance-change iterative (MVCI) algorithm. Additionally, some simulations are implemented to substantiate the validity of the CUSUM-type method. Comparison with some best methods indicates that the CUSUM-type change point estimation is computationally competitive and superior in terms of the mean squared error (MSE).

ISSN No.:1029-242X

Translation or Not:no

Date of Publication:2019-08-15

Co-author:Yu, Yuncai,Liu, Ling,Zhao, Piao

Correspondence Author:Xinsheng Liu

Personal information

Professor

Alma Mater:南京大学

Education Level:南京大学

Degree:Doctoral Degree in Science

School/Department:College of Aerospace Engineering

Discipline:Probability and Mathematical Statistics. Computational Mathematics. Mathematics

Business Address:明故宫校区9号楼413室

Contact Information:xsliu@nuaa.edu.cn

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