A non-parametric-based computationally efficient approach for credit scoring using non-traditional data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publication8th International Conference on Risk Analysis and Design of Experiments
Subtitle of host publicationbook of abstratcts
EditorsKarl Moder, Bernhard Spange
Pages9
Number of pages1
Publication statusPublished - Nov 2019
Event8th International Conference on Risk Analysis and Design of Experiments - University of Natural Resources and Life Sciences, Viena, Austria
Duration: 23 Apr 201926 Apr 2019
Conference number: 8

Conference

Conference8th International Conference on Risk Analysis and Design of Experiments
CountryAustria
CityViena
Period23/04/1926/04/19

Keywords

  • Credit scoring
  • Neural network
  • Non-traditional data sources
  • Default

Cite this

Ashofteh, A., & Bravo, J. M. (2019). A non-parametric-based computationally efficient approach for credit scoring using non-traditional data. In K. Moder, & B. Spange (Eds.), 8th International Conference on Risk Analysis and Design of Experiments: book of abstratcts (pp. 9)