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

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.