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High-dimensional change-point detection with sparse alternatives
v1v2 (latest)

High-dimensional change-point detection with sparse alternatives

6 December 2013
F. Enikeeva
Zaïd Harchaoui
ArXiv (abs)PDFHTML

Papers citing "High-dimensional change-point detection with sparse alternatives"

16 / 16 papers shown
Title
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring
  with Application to COVID-19 Hotspot Detection
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection
Jiuyun Hu
Y. Mei
S. Holte
Hao Yan
54
2
0
09 Aug 2022
A Contrastive Approach to Online Change Point Detection
A Contrastive Approach to Online Change Point Detection
Artur Goldman
Nikita Puchkin
Valeriia Shcherbakova
Uliana Vinogradova
82
7
0
21 Jun 2022
Optimal Change-point Testing for High-dimensional Linear Models with
  Temporal Dependence
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence
Daren Wang
Zifeng Zhao
98
6
0
08 May 2022
Optimal Change-Point Detection and Localization
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
62
45
0
22 Oct 2020
Dating the Break in High-dimensional Data
Dating the Break in High-dimensional Data
Runmin Wang
Xiaofeng Shao
70
8
0
10 Feb 2020
Subset Multivariate Collective And Point Anomaly Detection
Subset Multivariate Collective And Point Anomaly Detection
Alexander T. M. Fisch
I. Eckley
Paul Fearnhead
47
13
0
04 Sep 2019
Minimax rates in sparse, high-dimensional changepoint detection
Minimax rates in sparse, high-dimensional changepoint detection
Haoyang Liu
Chao Gao
R. Samworth
68
48
0
23 Jul 2019
Statistically and Computationally Efficient Change Point Localization in
  Regression Settings
Statistically and Computationally Efficient Change Point Localization in Regression Settings
Daren Wang
Zifeng Zhao
Kevin Lin
Rebecca Willett
84
39
0
26 Jun 2019
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
66
34
0
21 May 2019
Estimating a change point in a sequence of very high-dimensional
  covariance matrices
Estimating a change point in a sequence of very high-dimensional covariance matrices
Holger Dette
G. Pan
Qing Yang
53
33
0
27 Jul 2018
Finite sample change point inference and identification for
  high-dimensional mean vectors
Finite sample change point inference and identification for high-dimensional mean vectors
Mengjia Yu
Xiaohui Chen
89
38
0
23 Nov 2017
Relevant change points in high dimensional time series
Relevant change points in high dimensional time series
Holger Dette
Josua Gösmann
57
16
0
15 Apr 2017
Change Detection via Affine and Quadratic Detectors
Change Detection via Affine and Quadratic Detectors
Yang Cao
V. Guigues
A. Juditsky
A. Nemirovski
Yao Xie
81
11
0
01 Aug 2016
High-dimensional changepoint estimation via sparse projection
High-dimensional changepoint estimation via sparse projection
Tengyao Wang
R. Samworth
AI4TS
81
235
0
20 Jun 2016
Scan $B$-Statistic for Kernel Change-Point Detection
Scan BBB-Statistic for Kernel Change-Point Detection
Shuang Li
Yao Xie
H. Dai
Le Song
144
110
0
05 Jul 2015
High-Dimensional Change-Point Estimation: Combining Filtering with
  Convex Optimization
High-Dimensional Change-Point Estimation: Combining Filtering with Convex Optimization
Yong Sheng Soh
V. Chandrasekaran
83
29
0
11 Dec 2014
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