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arXiv · 2601.14473

Adaptive KDE for Real-Time Thresholding: Prioritized Queues for Financial Crime Investigation

Danny Butvinik·Nana Boateng·Achi Hackmon
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Abstract

We study the problem of converting a continuous stream of risk scores into stable decision thresholds under non-stationary score distributions. This problem arises in a wide range of detection systems where scores must be partitioned into prioritized processing regions while preserving semantic consistency over time.

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Danny Butvinik, Nana Boateng, Achi Hackmon. 2026-01-20. Adaptive KDE for Real-Time Thresholding: Prioritized Queues for Financial Crime Investigation. https://arxiv.org/abs/2601.14473

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