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What is Reject Inference in Credit Scoring about?
The document discusses the issue of sample selection bias in credit scoring, particularly focusing on the importance of reject inference techniques to include rejected applicants in model development. It critiques existing methodologies for their statistical focus and emphasizes the need for a business-oriented approach that aligns scoring models with underwriters
- Author
- Tanmoy Bhunia
- Language
- EN