Frequentist Calibration

Frequentist Calibration is a statistical framework for assessing and adjusting the reliability of probabilistic predictions by requiring that the long-run frequency of predicted events matches their empirical occurrence rates across repeated trials.

6

Publications

1.3K

Citations

8

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

8

  1. MF
    Marc Frédette

    HEC Montréal, Canada

    1 publications · 186 citations

    1

    h-index

  2. MJ
    M. J. Bayarri

    Universitat de València, Spain

    1 publications · 857 citations

    1

    h-index

  3. IR
    Ivair R. Silva

    Universidade Federal de Ouro Preto, Brazil

    1 publications · 11 citations

    1

    h-index

  4. MB
    Michael Betancourt

    Columbia University, United States

    1 publications · 23 citations

    1

    h-index

  5. RJ
    Roderick J. A. Little

    University of Michigan, United States

    1 publications · 239 citations

    1

    h-index

1–5 of 8

Venues

  1. The American Statistician

    2 publications · 1.1K citations

    2

    h-index

  2. International Statistical Review

    1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. Biometrika

    1 publications · 186 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 23 citations

    1

    h-index

1–5