611 citations to https://www.mathnet.ru/rus/tvp4645
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Savas Dayanik, Semih O Sezer, “Model Misspecification in Discrete Time Bayesian Online Change Detection”, Methodol Comput Appl Probab, 25:1 (2023)
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Yinglun Zhan, Ruizhi Zhang, Yuzhen Zhou, Vincent Stoerger, Jeremy Hiller, Tala Awada, Yufeng Ge, “Rapid online plant leaf area change detection with high-throughput plant image data”, Journal of Applied Statistics, 50:14 (2023), 2984
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Topi Halme, Visa Koivunen, 2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, 877
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Xinrong Xiang, Baisuo Jin, Yuehua Wu, “Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information”, Entropy, 25:2 (2023), 355
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Wanrong Zhang, Yajun Mei, “Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control”, Technometrics, 65:1 (2023), 33
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Yang Du, Susu Zhang, Hua‐Hua Chang, “Compromised item detection: A Bayesian change‐point perspective”, Brit J Math & Statis, 76:1 (2023), 131
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Xiaochuan Ma, Lifeng Lai, Shuguang Cui, “Bayesian Two-Stage Sequential Change Diagnosis via Sensor Arrays”, IEEE Trans. Inform. Theory, 69:11 (2023), 7276
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Shamp W., Varbanov R., Chicken E., Linero A., Yang Yu., “Computationally Efficient Bayesian Sequential Function Monitoring”, J. Qual. Technol., 54:1 (2022), 1–19
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Qining Zhang, Honghao Wei, Weina Wang, Lei Ying, Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2022, 141
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Neil Hwang, Jiarui Xu, Shirshendu Chatterjee, Sharmodeep Bhattacharyya, “The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data”, Sankhya A, 84:1 (2022), 283