Model Confidence Set

A Model Confidence Set is a statistical procedure that identifies a subset of competing forecast models, ranked within a broader model space, which with a specified level of confidence contains the true data-generating model according to a defined loss criterion.

80

Publications

5.8K

Citations

162

Authors

109

Institutions

Publications per year

2017–2026

38

Authors

162

  1. LC
    Leopoldo Catania

    Aarhus University, Denmark

    4 publications · 155 citations

    4

    h-index

  2. MB
    Mauro Bernardi

    University of Padua, Italy

    4 publications · 155 citations

    4

    h-index

  3. TC
    Taufiq Choudhry

    University of Southampton, United Kingdom

    2 publications · 37 citations

    2

    h-index

  4. BS
    Boriss Siliverstovs

    German Institute for Economic Research, Germany

    2 publications · 85 citations

    2

    h-index

  5. DR
    David R. Thomas

    Carleton University, Canada

    2 publications · 39 citations

    2

    h-index

1–5 of 162

Venues

  1. Journal of Forecasting

    9 publications · 466 citations

    9

    h-index

  2. The Annals of Statistics

    5 publications · 105 citations

    5

    h-index

  3. SSRN Electronic Journal

    Repository · 4 publications · 168 citations

    4

    h-index

  4. 3

    h-index

  5. Econometrica

    3 publications · 2.8K citations

    3

    h-index

1–5