High-Dimensional Online Change Point Detection with Adaptive Thresholding and Interpretability
A CPD framework that improves scalability and interpretability by leveraging the Sliced Wasserstein (SW) distance and produces interpretable change-point annotations, making it practical for deployment in high-stakes applications.
Sven Jacob, Bardh Prenkaj, Wei-Jia Shao et al.
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