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Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference
The majority of current credit-scoring models, used for loan approval processing, are generally built on the basis of the information from the accepted credit applicants whose ability to repay the loan is known. This situation generates what is called the selection bias, presented by a sample that i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106982/ https://www.ncbi.nlm.nih.gov/pubmed/35601000 http://dx.doi.org/10.1007/s00180-022-01220-9 |