动态调整风险评分阈值，提升金融犯罪侦测实时性与稳定性

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

• 基于自适应核密度估计动态生成阈值
• 在非平稳分布下保持决策一致性
• 适用于需要分级处理的实时风控系统

我们研究如何将连续的风险评分流转化为在非平稳评分分布下仍稳定的决策阈值。该问题广泛存在于各类检测系统中，需将评分划分为具有优先级的处理区域，同时保持时间上的语义一致性。

原文摘要 · Abstract (English)

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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