Active Sequential Change-Point Detection for High-dimensional Streaming Data
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This research project focuses on active sequential change-point detection for high-dimensional streaming data under sampling or resource constraints, with numerous important real-world applications, including biosurveillance, environmental monitoring, epidemiology, disaster management, homeland security, quality control in manufacturing…
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