611 citations to https://www.mathnet.ru/rus/tvp4645
  1. Savas Dayanik, Semih O Sezer, “Model Misspecification in Discrete Time Bayesian Online Change Detection”, Methodol Comput Appl Probab, 25:1 (2023)  crossref
  2. 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  crossref
  3. Topi Halme, Visa Koivunen, 2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, 877  crossref
  4. Xinrong Xiang, Baisuo Jin, Yuehua Wu, “Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information”, Entropy, 25:2 (2023), 355  crossref
  5. Wanrong Zhang, Yajun Mei, “Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control”, Technometrics, 65:1 (2023), 33  crossref
  6. Yang Du, Susu Zhang, Hua‐Hua Chang, “Compromised item detection: A Bayesian change‐point perspective”, Brit J Math & Statis, 76:1 (2023), 131  crossref
  7. Xiaochuan Ma, Lifeng Lai, Shuguang Cui, “Bayesian Two-Stage Sequential Change Diagnosis via Sensor Arrays”, IEEE Trans. Inform. Theory, 69:11 (2023), 7276  crossref
  8. Shamp W., Varbanov R., Chicken E., Linero A., Yang Yu., “Computationally Efficient Bayesian Sequential Function Monitoring”, J. Qual. Technol., 54:1 (2022), 1–19  crossref  isi
  9. 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  crossref
  10. 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  crossref
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