# Robust change detection for large-scale data streams

@article{Zhang2022RobustCD, title={Robust change detection for large-scale data streams}, author={Ruizhi Zhang and Yajun Mei and JianJun Shi}, journal={Sequential Analysis}, year={2022}, volume={41}, pages={1 - 19} }

Abstract Robust change point detection for large-scale data streams has many real-world applications in industrial quality control, signal detection, and biosurveillance. Unfortunately, it is highly nontrivial to develop efficient schemes due to three challenges: (1) the unknown sparse subset of affected data streams, (2) the unexpected outliers, and (3) computational scalability for real-time monitoring and detection. In this article, we develop a family of efficient real-time robust detection…

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