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High-dimensional change-point detection with sparse alternatives
6 December 2013
F. Enikeeva
Zaïd Harchaoui
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Papers citing
"High-dimensional change-point detection with sparse alternatives"
25 / 25 papers shown
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection
Journal of Applied Statistics (J. Appl. Stat.), 2022
Jiuyun Hu
Y. Mei
S. Holte
Hao Yan
259
2
0
09 Aug 2022
Noise-contrastive Online Change Point Detection
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Artur Goldman
Nikita Puchkin
Valeriia Shcherbakova
Uliana Vinogradova
Uliana Vinogradova
430
8
0
21 Jun 2022
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence
Daren Wang
Zifeng Zhao
303
7
0
08 May 2022
Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees
A. Kaul
221
2
0
20 May 2021
Likelihood Scores for Sparse Signal and Change-Point Detection
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Shouri Hu
Jing-Fu Huang
Hao Chen
H. Chan
365
3
0
15 May 2021
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
403
63
0
22 Oct 2020
Inference on the change point in high dimensional time series models via plug in least squares
A. Kaul
S. Fotopoulos
V. Jandhyala
Abolfazl Safikhani
468
0
0
03 Jul 2020
Sequential change point detection in high dimensional time series
Electronic Journal of Statistics (EJS), 2020
Josua Gösmann
Christina Stoehr
Johannes Heiny
Holger Dette
AI4TS
411
18
0
31 May 2020
High-dimensional, multiscale online changepoint detection
Yudong Chen
Tengyao Wang
R. Samworth
345
70
0
07 Mar 2020
Dating the Break in High-dimensional Data
Bernoulli (Bernoulli), 2020
Runmin Wang
Xiaofeng Shao
301
9
0
10 Feb 2020
Change Point Detection for Nonparametric Regression under Strongly Mixing Process
Q. Yang
Jian Wang
Yuhui Zhang
193
17
0
31 Oct 2019
Inference on the change point with the jump size near the boundary of the region of detectability in high dimensional time series models
A. Kaul
V. Jandhyala
S. Fotopoulos
196
0
0
17 Sep 2019
Subset Multivariate Collective And Point Anomaly Detection
Journal of Computational And Graphical Statistics (JCGS), 2019
Alexander T. M. Fisch
I. Eckley
Paul Fearnhead
191
18
0
04 Sep 2019
Minimax rates in sparse, high-dimensional changepoint detection
Annals of Statistics (Ann. Stat.), 2019
Haoyang Liu
Chao Gao
R. Samworth
421
51
0
23 Jul 2019
Statistically and Computationally Efficient Change Point Localization in Regression Settings
Journal of machine learning research (JMLR), 2019
Daren Wang
Zifeng Zhao
Kevin Lin
Rebecca Willett
305
43
0
26 Jun 2019
Inference for Change Points in High Dimensional Data via Self-Normalization
Annals of Statistics (Ann. Stat.), 2019
Runmin Wang
Changbo Zhu
S. Volgushev
Xiaofeng Shao
243
41
0
21 May 2019
A robust bootstrap change point test for high-dimensional location parameter
Mengjia Yu
Xiaohui Chen
386
15
0
06 Apr 2019
Estimating a change point in a sequence of very high-dimensional covariance matrices
Holger Dette
G. Pan
Qing Yang
216
41
0
27 Jul 2018
Convergence rates for smooth k-means change-point detection
A. Fischer
D. Picard
204
3
0
21 Feb 2018
Finite sample change point inference and identification for high-dimensional mean vectors
Mengjia Yu
Xiaohui Chen
575
46
0
23 Nov 2017
Relevant change points in high dimensional time series
Holger Dette
Josua Gösmann
285
17
0
15 Apr 2017
Change Detection via Affine and Quadratic Detectors
Yang Cao
V. Guigues
A. Juditsky
A. Nemirovski
Yao Xie
654
11
0
01 Aug 2016
High-dimensional changepoint estimation via sparse projection
Tengyao Wang
R. Samworth
AI4TS
248
262
0
20 Jun 2016
Scan
B
B
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-Statistic for Kernel Change-Point Detection
Shuang Li
Yao Xie
H. Dai
Le Song
455
120
0
05 Jul 2015
High-Dimensional Change-Point Estimation: Combining Filtering with Convex Optimization
International Symposium on Information Theory (ISIT), 2014
Yong Sheng Soh
V. Chandrasekaran
342
28
0
11 Dec 2014
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