Combining Density Forecasts

Combining Density Forecasts is a statistical framework that integrates multiple probability density forecasts of a target variable into a single, more accurate and robust predictive density by optimally weighting or aggregating the individual densities.

42

Publications

2.2K

Citations

61

Authors

55

Institutions

Publications per year

2017–2026

14

Variants

Density Forecast Combination

Authors

61

  1. JM
    James Mitchell

    National Institute of Economic and Social Research, United Kingdom

    11 publications · 765 citations

    10

    h-index

  2. FR
    Francesco Ravazzolo

    BI Norwegian Business School, Norway

    8 publications · 338 citations

    8

    h-index

  3. SP
    Shaun P. Vahey

    Norges Bank

    5 publications · 305 citations

    5

    h-index

  4. TE
    Todd E. Clark

    Federal Reserve Bank of Cleveland, United States

    4 publications · 200 citations

    4

    h-index

  5. AS
    Anne Sofie Jore

    Norges Bank

    3 publications · 354 citations

    3

    h-index

1–5 of 61

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 263 citations

    12

    h-index

  2. Journal of Applied Econometrics

    4 publications · 410 citations

    4

    h-index

  3. Oxford Bulletin of Economics and Statistics

    3 publications · 412 citations

    3

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 3 publications · 54 citations

    3

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 2 publications · 185 citations

    2

    h-index

1–5