Incorporating Digital Footprints into Credit-Scoring Models through Model Averaging

Digital footprints provide crucial insights into individuals’ behaviors and preferences. Their role in credit scoring is becoming increasingly significant. Therefore, it is crucial to combine digital footprint data with traditional data for personal credit scoring. This paper proposes a novel credit...

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Detalles Bibliográficos

Principais autores:	Linhui Wang, Jianping Zhu, Chenlu Zheng, Zhiyuan Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-09-01
Series:	Mathematics
Assuntos:	digital footprints credit scoring model averaging Kullback–Leibler loss
Acceso en liña:	https://www.mdpi.com/2227-7390/12/18/2907
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