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Finite sample change point inference and identification for
  high-dimensional mean vectors

Finite sample change point inference and identification for high-dimensional mean vectors

23 November 2017
Mengjia Yu
Xiaohui Chen
ArXivPDFHTML

Papers citing "Finite sample change point inference and identification for high-dimensional mean vectors"

7 / 7 papers shown
Title
Testing Stationarity and Change Point Detection in Reinforcement Learning
Testing Stationarity and Change Point Detection in Reinforcement Learning
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
32
9
0
03 Mar 2022
Central limit theorems for high dimensional dependent data
Central limit theorems for high dimensional dependent data
Jinyuan Chang
Xiaohui Chen
Mingcong Wu
17
29
0
27 Apr 2021
Optimal multiple change-point detection for high-dimensional data
Optimal multiple change-point detection for high-dimensional data
Emmanuel Pilliat
Alexandra Carpentier
Nicolas Verzélen
25
14
0
16 Nov 2020
Dating the Break in High-dimensional Data
Dating the Break in High-dimensional Data
Runmin Wang
Xiaofeng Shao
16
8
0
10 Feb 2020
Inference for Change Points in High Dimensional Data via
  Self-Normalization
Inference for Change Points in High Dimensional Data via Self-Normalization
Runmin Wang
Changbo Zhu
S. Volgushev
Xiaofeng Shao
31
34
0
21 May 2019
A robust bootstrap change point test for high-dimensional location
  parameter
A robust bootstrap change point test for high-dimensional location parameter
Mengjia Yu
Xiaohui Chen
16
10
0
06 Apr 2019
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
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