A Framework of Global Credit-Scoring Modeling Using Outlier Detection and Machine Learning in a P2P Lending Platform
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- Thomas B. Astebro & G. Chen, 2001. "The Economic Value of Reject Inference in Credit Scoring," Post-Print hal-00654597, HAL.
- Larissa Batrancea & Mircea Iosif Rus & Ema Speranta Masca & Ioan Dan Morar, 2021. "Fiscal Pressure as a Trigger of Financial Performance for the Energy Industry: An Empirical Investigation across a 16-Year Period," Energies, MDPI, vol. 14(13), pages 1-17, June.
- Bücker, Michael & van Kampen, Maarten & Krämer, Walter, 2013. "Reject inference in consumer credit scoring with nonignorable missing data," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1040-1045.
- Larissa Batrancea, 2021. "The Influence of Liquidity and Solvency on Performance within the Healthcare Industry: Evidence from Publicly Listed Companies," Mathematics, MDPI, vol. 9(18), pages 1-15, September.
- Larissa Batrancea, 2021. "An Econometric Approach Regarding the Impact of Fiscal Pressure on Equilibrium: Evidence from Electricity, Gas and Oil Companies Listed on the New York Stock Exchange," Mathematics, MDPI, vol. 9(6), pages 1-22, March.
- Trivedi, Shrawan Kumar, 2020. "A study on credit scoring modeling with different feature selection and machine learning approaches," Technology in Society, Elsevier, vol. 63(C).
- J Banasik & J Crook, 2010. "Reject inference in survival analysis by augmentation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 473-485, March.
- Crook, Jonathan N. & Edelman, David B. & Thomas, Lyn C., 2007. "Recent developments in consumer credit risk assessment," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1447-1465, December.
- Crook, Jonathan & Banasik, John, 2004. "Does reject inference really improve the performance of application scoring models?," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 857-874, April.
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Keywords
financial markets; credit scoring; machine learning; P2P lending;All these keywords.
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