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Inference for Change Points in High Dimensional Data via
  Self-Normalization

Inference for Change Points in High Dimensional Data via Self-Normalization

21 May 2019
Runmin Wang
Changbo Zhu
S. Volgushev
Xiaofeng Shao
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Papers citing "Inference for Change Points in High Dimensional Data via Self-Normalization"

3 / 3 papers shown
Title
Adaptive Testing for High-dimensional Data
Adaptive Testing for High-dimensional Data
Yangfan Zhang
Runmin Wang
Xiaofeng Shao
22
0
0
14 Mar 2023
Validating Approximate Slope Homogeneity in Large Panels
Validating Approximate Slope Homogeneity in Large Panels
T. Kutta
Holger Dette
28
1
0
04 May 2022
Break detection in the covariance structure of multivariate time series
  models
Break detection in the covariance structure of multivariate time series models
Alexander Aue
Siegfried Hormann
Lajos Horváth
M. Reimherr
153
363
0
19 Nov 2009
1