Reject Inference
Reject Inference is a methodological approach in credit scoring that belongs to the class of techniques used to address sample selection bias by attributing creditworthiness to loan applicants who were denied credit, thereby enabling more accurate model estimation using both approved and rejected application data.
26
Publications
1.4K
Citations
60
Authors
30
Institutions
Publications per year
2017–2026
13
Parents
26
An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data
Tie Li, Gang Kou, Yi Peng et al. · IEEE Transactions on Cybernetics · 2021 · 220 citations · Full text
Computing, Data Science, Finance +17
Reject inference in credit scoring using Semi-supervised Support Vector Machines
Zhiyong Li, Ye Tian, Ke Li et al. · Expert Systems with Applications · 2017 · 130 citations
1–5 of 26
60
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30
Southwestern University of Finance and Economics
Chengdu, China
5 h-index
15 publications
1.5K citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
210 citations

Jiangsu Normal University
Xuzhou, China
2 h-index
3 publications
132 citations
Yonsei University
Seoul, South Korea
2 h-index
3 publications
78 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
56 citations
HEC Paris
Jouy-en-Josas, France
1 h-index
1 publications
21 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
1 h-index
4 publications
216 citations

The Open University
Milton Keynes, United Kingdom
1 h-index
2 publications
184 citations
1–8 of 30
OR · 3 publications · 71 citations
3
h-index
3 publications · 198 citations
3
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2 publications · 158 citations
2
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2 publications · 101 citations
2
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IJDATS · 1 publications · 15 citations
1
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1–5