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Does reject inference really improve the performance of application scoring models?
6 references·16 citing·44 second hop
Does reject inference really improve the performance of application scoring models? (2003)Does reject inference really improve the …Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…Sample selection bias in credit scoring models (2003)Sample selection bias in cred…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…An econometric analysis of the bank credit scoring problem (1989)An econometric analysis of th…An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models (1983)An Examination of the Concept…Credit Scoring and the Equal Credit Opportunity Act (1978)Credit Scoring and the Equal …A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring (2021)A graph-based semi-supervised…Deep generative models for reject inference in credit scoring (2020)Deep generative models for re…Using Bayesian networks to perform reject inference (2019)Using Bayesian networks to pe…A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending (2019)A Novel Reject Inference Mode…Statistical Challenges of Administrative and Transaction Data (2018)Statistical Challenges of Adm…A review of credit scoring research in the age of Big Data (2018)A review of credit scoring re…A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending (2018)A rejection inference techniq…A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines (2018)A new approach for reject inf…Company failure prediction with limited information: newly incorporated companies (2013)Company failure prediction wi…Alternative bankruptcy prediction models using option-pricing theory (2013)Alternative bankruptcy predic…Reject inference in consumer credit scoring with nonignorable missing data (2012)Reject inference in consumer …Credit scoring for microfinance: is it worth it? 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this work references cited by second hop

References

  • 2002Credit Scoring and Its Applications669 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 1989An econometric analysis of the bank credit scoring problem284 cited
  • 1983An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models137 cited
  • 2003Sample selection bias in credit scoring models130 cited
  • 1978Credit Scoring and the Equal Credit Opportunity Act56 cited

Cited by

  • 2018Statistical Challenges of Administrative and Transaction Data129 cited
  • 2011Credit scoring for microfinance: is it worth it?102 cited
  • 2009Enterprise risk management: small business scorecard analysis91 cited
  • 2018A review of credit scoring research in the age of Big Data81 cited
  • 2007Reject inference, augmentation, and sample selection81 cited
  • 2006Are Securitizations in Substance Sales or Secured Borrowings? Capital‐Market Evidence*80 cited
  • 2013Alternative bankruptcy prediction models using option-pricing theory76 cited
  • 2018A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines63 cited
  • 2020Deep generative models for reject inference in credit scoring

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53 cited
  • 2018A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending48 cited
  • 2012Reject inference in consumer credit scoring with nonignorable missing data46 cited
  • 2019A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending44 cited
  • 2021A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring41 cited
  • 2019Using Bayesian networks to perform reject inference38 cited
  • 2009The construction of empirical credit scoring rules based on maximization principles34 cited
  • 2013Company failure prediction with limited information: newly incorporated companies27 cited