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Ranking Prior Alignment for Credit Risk Modeling: When Do External Priors Matter?
Cold-start credit scoring -- deploying models with scarce labeled data, weak features, or minimal capacity -- is a recurring problem in financial machine learning. When a new lending product launches, labeled default data is scarce, feature pipelines are immature, and models must be deployed with mi
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