586 citations to https://www.mathnet.ru/rus/tvp4645
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Haoyun Wang, Yao Xie, “Sequential change‐point detection: Computation versus statistical performance”, WIREs Computational Stats, 16:1 (2024)
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Kim Hammar, Rolf Stadler, “Learning Near-Optimal Intrusion Responses Against Dynamic Attackers”, IEEE Trans. Netw. Serv. Manage., 21:1 (2024), 1158
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Shuyu Chu, Xueying Liu, Achla Marathe, Xinwei Deng, “A latent process approach to change-point detection of mixed-type observations”, Quality Engineering, 36:2 (2024), 407
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Neha Deopa, Daniele Rinaldo, “Quickest Detection of Ecological Regimes for Natural Resource Management”, Environ Resource Econ, 2024
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Houda Harkat, Luis M. Camarinha-Matos, João Goes, Hasmath F.T. Ahmed, “Cyber-physical systems security: A systematic review”, Computers & Industrial Engineering, 188 (2024), 109891
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Marvin Borsch, Alexander Mayer, Dominik Wied, “Consistent Estimation of Multiple Breakpoints in Dependence Measures”, Journal of Business & Economic Statistics, 42:2 (2024), 695
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Lajos Horváth, Gregory Rice, Springer Series in Statistics, Change Point Analysis for Time Series, 2024, 325
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Yingze Hou, Yousef Oleyaeimotlagh, Rahul Mishra, Hoda Bidkhori, Taposh Banerjee, “Robust quickest change detection in nonstationary processes”, Sequential Analysis, 2024, 1
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Hao Chen, Abhishek Gupta, Yin Sun, Ness Shroff, “Model-Free Change Point Detection for Mixing Processes”, IEEE Open J. Control. Syst., 3 (2024), 202
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Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn, Haijun Gong, “Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence”, Stats, 7:2 (2024), 462