Deep learning for credit scoring : do or don't?
Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
| Year of publication: |
2021
|
|---|---|
| Authors: | Gunnarsson, Björn Rafn ; Vanden Broucke, Seppe ; Baesens, Bart ; Óskarsdóttir, María ; Lemahieu, Wilfried |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 295.2021, 1 (16.11.), p. 292-305
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| Subject: | Bayesian statistical testing | Credit scoring | Decision support systems | Deep learning | Risk analysis | Kreditwürdigkeit | Credit rating | Management-Informationssystem | Management information system | Künstliche Intelligenz | Artificial intelligence | Kreditrisiko | Credit risk | Theorie | Theory | Bayes-Statistik | Bayesian inference |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2021.03.006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012595981