Fighting sampling bias : a framework for training and evaluating credit scoring models
Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, Luis Moreira-Matias, Konstantinos Papakonstantinou
| Year of publication: |
2025
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|---|---|
| Authors: | Kozodoi, Nikita ; Lessmann, Stefan ; Alamgir, Morteza ; Moreira-Matias, Luis ; Papakonstantinou, Konstantinos |
| Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 324.2025, 2 (16.7.), p. 616-628
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| Subject: | Credit scoring | Machine learning | OR in banking | Reject inference | Sampling bias | Kreditwürdigkeit | Credit rating | Stichprobenerhebung | Sampling | Künstliche Intelligenz | Artificial intelligence | Systematischer Fehler | Bias | Theorie | Theory | Kreditrisiko | Credit risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2025.01.040 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015433112