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.
@article{arxiv.2601.14473,
title = {Adaptive KDE for Real-Time Thresholding: Prioritized Queues for Financial Crime Investigation},
author = {Danny Butvinik and Nana Boateng and Achi Hackmon},
journal= {arXiv preprint arXiv:2601.14473},
year = {2026}
}