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

Authors

60

  1. SY
    So Young Sohn

    Yonsei University, South Korea

    2 publications · 54 citations

    2

    h-index

  2. GK
    Gang Kou

    Southwestern University of Finance and Economics, China

    2 publications · 337 citations

    2

    h-index

  3. YX
    Yufei Xia

    China University of Mining and Technology, China

    2 publications · 87 citations

    2

    h-index

  4. FS
    Feng Shen

    Southwestern University of Finance and Economics, China

    2 publications · 154 citations

    2

    h-index

  5. JC
    Jonathan Crook

    University of Edinburgh, United Kingdom

    2 publications · 105 citations

    2

    h-index

1–5 of 60

Venues

  1. Journal of the Operational Research Society

    OR · 3 publications · 71 citations

    3

    h-index

  2. Expert Systems with Applications

    3 publications · 198 citations

    3

    h-index

  3. IMA Journal of Management Mathematics

    2 publications · 158 citations

    2

    h-index

  4. Applied Soft Computing

    2 publications · 101 citations

    2

    h-index

  5. 1

    h-index

1–5