Conditional Bias Correction

Conditional Bias Correction is a bias correction method that adjusts predictions or estimates by explicitly modeling the conditional distribution of the target variable given biased observations, thereby distinguishing itself from unconditional approaches through its dependence on the observed input context.

41

Publications

3.8K

Citations

87

Authors

76

Institutions

Publications per year

2017–2026

7

Authors

87

  1. AE
    Alan E. Gelfand

    Duke University, United States

    3 publications · 138 citations

    3

    h-index

  2. AA
    Alberto Abadie

    Harvard University, United States

    3 publications · 1.7K citations

    3

    h-index

  3. BP
    Bradley P. Carlin

    University of Minnesota, United States

    3 publications · 138 citations

    3

    h-index

  4. GW
    Guido W. Imbens

    Stanford University, United States

    3 publications · 1.7K citations

    3

    h-index

  5. DS
    Dong‐Jun Seo

    The University of Texas at Arlington, United States

    2 publications · 91 citations

    2

    h-index

1–5 of 87

Venues

  1. 3

    h-index

  2. Monthly Weather Review

    3 publications · 506 citations

    3

    h-index

  3. Journal of Hydrometeorology

    2 publications · 64 citations

    2

    h-index

  4. Weather and Forecasting

    2 publications · 32 citations

    2

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 2 publications · 289 citations

    2

    h-index

1–5