Scorecard Calibration

Scorecard Calibration is a methodological process in credit scoring that adjusts the output of a scorecard model to ensure predicted probabilities of default align with observed default rates, thereby maintaining the model's statistical validity and predictive accuracy over time.

10

Publications

1.3K

Citations

26

Authors

21

Institutions

Publications per year

2017–2026

1

Authors

26

  1. DJ
    David J. Hand

    Imperial College London, United Kingdom

    2 publications · 139 citations

    2

    h-index

  2. CM
    Christophe Mues

    University of Southampton, United Kingdom

    1 publications · 22 citations

    1

    h-index

  3. LC
    Lyn C. Thomas

    University of Southampton, United Kingdom

    1 publications · 22 citations

    1

    h-index

  4. KC
    Kristof Coussement

    Institut d'Economie Scientifique Et de Gestion, France

    1 publications · 47 citations

    1

    h-index

  5. JI
    Jorge I. Quevedo

    Clinton Health Access Initiative, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 26

Venues

  1. Journal of the Operational Research Society

    OR · 2 publications · 139 citations

    2

    h-index

  2. Pediatric Critical Care Medicine

    1 publications · 31 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 22 citations

    1

    h-index

  4. Computers & Industrial Engineering

    1 publications · 470 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 30 citations

    1

    h-index

1–5