Error Correction In Forecasting

Error Correction in Forecasting is a forecasting methodology that belongs to the class of post-processing techniques, specifically distinguished by its incorporation of historical forecast errors to adjust future predictions in a systematic, often model-based manner, ensuring improved accuracy and coherence across hierarchical or grouped time series.

96

Publications

3.9K

Citations

222

Authors

112

Institutions

Publications per year

2017–2026

22

Authors

222

  1. MH
    M. Hashem Pesaran

    University of Southern California, United States

    3 publications · 62 citations

    3

    h-index

  2. HR
    Hong‐Li Ren

    China Meteorological Administration, China

    3 publications · 50 citations

    3

    h-index

  3. TD
    Timothy DelSole

    George Mason University, United States

    3 publications · 87 citations

    3

    h-index

  4. KA
    Katrin Assenmacher

    Swiss National Bank, Switzerland

    3 publications · 62 citations

    3

    h-index

  5. PS
    Paulo S. G. de Mattos Neto

    Universidade Federal de Pernambuco, Brazil

    2 publications · 73 citations

    2

    h-index

1–5 of 222

Venues

  1. Monthly Weather Review

    8 publications · 230 citations

    8

    h-index

  2. Journal of Forecasting

    7 publications · 326 citations

    7

    h-index

  3. International Journal of Forecasting

    4 publications · 146 citations

    4

    h-index

  4. Applied Soft Computing

    3 publications · 177 citations

    3

    h-index

  5. Computers & Operations Research

    2 publications · 176 citations

    2

    h-index

1–5