Alexander G. Tartakovsky, “Quick and Complete Convergence in the Law of Large Numbers with Applications to Statistics”, Mathematics, 11:12 (2023), 2687
Arunava Naha, André M.H. Teixeira, Anders Ahlén, Subhrakanti Dey, “Quickest detection of deception attacks on cyber–physical systems with a parsimonious watermarking policy”, Automatica, 155 (2023), 111147
Simon Lindståhl, Alexandre Proutiere, Andreas Johnsson, “Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification”, Proc. ACM Meas. Anal. Comput. Syst., 7:3 (2023), 1
Konstantinos Bourazas, Frederic Sobas, Panagiotis Tsiamyrtzis, “Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs”, Journal of Quality Technology, 55:4 (2023), 391
Arunava Naha, André Teixeira, Anders Ahlén, Subhrakanti Dey, “Quickest physical watermarking-based detection of measurement replacement attacks in networked control systems”, European Journal of Control, 71 (2023), 100804
Savas Dayanik, Semih O Sezer, “Model Misspecification in Discrete Time Bayesian Online Change Detection”, Methodol Comput Appl Probab, 25:1 (2023)
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
Topi Halme, Visa Koivunen, 2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, 877
Xinrong Xiang, Baisuo Jin, Yuehua Wu, “Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information”, Entropy, 25:2 (2023), 355
Wanrong Zhang, Yajun Mei, “Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control”, Technometrics, 65:1 (2023), 33