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Technometrics Volume 65, 2023 - Issue 1
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Articles

Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning

Ruiyu Xua Department of Industrial Engineering and Management, Peking University, Beijing, China; View further author information
,
Jianguo Wua Department of Industrial Engineering and Management, Peking University, Beijing, China; Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2885-8725View further author information
ORCID Icon,
Xiaowei Yueb Department of Industrial & Systems Engineering, Virginia Tech, Blacksburg, VA; ORCID Iconhttps://orcid.org/0000-0001-6019-0940View further author information
ORCID Icon &
Yongxiang Lic Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, ChinaView further author information
Pages 19-32 | Received 24 Feb 2021, Accepted 12 Feb 2022, Published online: 01 Apr 2022

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Read on this site (3)

Xing Yang & Chen Zhang. (2024) Online directed-structural change-point detection: A segment-wise time-varying dynamic Bayesian network approach. IISE Transactions 56:5, pages 527-540.
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Joonpyo Kim, Hee-Seok Oh & Haeran Cho. (2024) Moving Sum Procedure for Change Point Detection under Piecewise Linearity. Technometrics 0:0, pages 1-10.
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Jun Xu, Jie Zhou, Xiaofang Huang & Kaibo Wang. (2023) Change point detection of multimode processes considering both mode transitions and parameter changes. IISE Transactions 0:0, pages 1-16.
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Articles from other publishers (1)

Chunshan Liu, Daniel R. Kowal & Marina Vannucci. (2022) Dynamic and robust Bayesian graphical models. Statistics and Computing 32:6.
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