Inferring the outcomes of rejected loans: an application of semisupervised clustering-Reference-Cited by-同舟云学术

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Inferring the outcomes of rejected loans: an application of semisupervised clustering

Published:2019-11-14 Issue:2 Volume:183 Page:631-654
ISSN:0964-1998
Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
language:en
Short-container-title:J. R. Stat. Soc. A

Author:

Li Zhiyong¹,Hu Xinyi²,Li Ke¹,Zhou Fanyin¹,Shen Feng¹

Affiliation:

1. Southwestern University of Finance and Economics Chengdu People's Republic of China

2. Xiamen University, and Southwestern University of Finance and Economics Chengdu People's Republic of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12534

Reference53 articles.

1. A k-mean clustering algorithm for mixed numeric and categorical data

2. The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study

3. Modified logistic regression using the EM algorithm for reject inference

4. Ash D.andMeester S.(2002)Best practices in reject inferencing.Credit Risk Modelling and Decisioning Conf. Philadelphia.

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