Bayesian Bias Correction

Bayesian Bias Correction is a statistical method that belongs to the class of bias correction techniques and is distinguished by its incorporation of prior knowledge through Bayesian inference to systematically adjust for systematic errors or distortions in data or model estimates.

41

Publications

1.8K

Citations

130

Authors

81

Institutions

Publications per year

2017–2026

12

Authors

130

  1. ZS
    Zhongbo Su

    University of Twente, Netherlands

    2 publications · 50 citations

    2

    h-index

  2. HC
    Haonan Chen

    Colorado State University, United States

    2 publications · 84 citations

    2

    h-index

  3. YM
    Yingzhao Ma

    Colorado State University, United States

    2 publications · 84 citations

    2

    h-index

  4. RW
    Rodney W. Strachan

    The University of Queensland, Australia

    2 publications · 109 citations

    2

    h-index

  5. JV
    Joachim Vandekerckhove

    University of California, Irvine, United States

    2 publications · 267 citations

    2

    h-index

1–5 of 130

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 2 publications · 50 citations

    2

    h-index

  2. PLoS ONE

    1 publications · 17 citations

    1

    h-index

  3. Journal of Econometrics

    1 publications · 97 citations

    1

    h-index

  4. Biometrika

    1 publications · 42 citations

    1

    h-index

  5. 1

    h-index

1–5