Density Forecast Evaluation

Density Forecast Evaluation is a methodological framework within forecast evaluation that assesses the accuracy of probabilistic forecasts by comparing the entire predicted probability distribution to the observed outcome, distinguishing it from point- or interval-based evaluation techniques.

76

Publications

6.1K

Citations

111

Authors

86

Institutions

Publications per year

2017–2026

10

Variants

Probabilistic Forecast Evaluation

Authors

111

  1. JM
    James Mitchell

    National Institute of Economic and Social Research, United Kingdom

    7 publications · 539 citations

    7

    h-index

  2. KF
    Kenneth F. Wallis

    University of Warwick, United Kingdom

    7 publications · 718 citations

    7

    h-index

  3. AS
    Anthony S. Tay

    Singapore Management University, Singapore

    6 publications · 1K citations

    6

    h-index

  4. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    4 publications · 705 citations

    4

    h-index

  5. JS
    Jeremy Smith

    University of Warwick, United Kingdom

    4 publications · 210 citations

    4

    h-index

1–5 of 111

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 371 citations

    12

    h-index

  2. Journal of Forecasting

    9 publications · 596 citations

    9

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 5 publications · 2.2K citations

    5

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 5 publications · 130 citations

    5

    h-index

  5. International Journal of Forecasting

    4 publications · 239 citations

    4

    h-index

1–5