Heteroscedastic Forecasting

Heteroscedastic Forecasting is a forecasting framework that explicitly models and predicts time-varying uncertainty in forecast errors, distinguishing itself by accommodating non-constant variance structures in predictive distributions over time.

161

Publications

8K

Citations

341

Authors

223

Institutions

Publications per year

2017–2026

35

Authors

341

  1. CW
    Cathy W. S. Chen

    Feng Chia University, Taiwan

    4 publications · 140 citations

    4

    h-index

  2. CC
    Christian Conrad

    Heidelberg University, Germany

    3 publications · 105 citations

    3

    h-index

  3. AD
    Allan D. Brunner

    Federal Reserve Board of Governors, United States

    3 publications · 249 citations

    3

    h-index

  4. PH
    Philip Hans Franses

    Erasmus University Rotterdam, Netherlands

    3 publications · 720 citations

    3

    h-index

  5. YL
    Yu‐Sheng Lai

    National Chi Nan University, Taiwan

    2 publications · 28 citations

    2

    h-index

1–5 of 341

Venues

  1. Journal of Forecasting

    15 publications · 1K citations

    14

    h-index

  2. International Journal of Forecasting

    8 publications · 477 citations

    8

    h-index

  3. SSRN Electronic Journal

    Repository · 7 publications · 150 citations

    7

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 5 publications · 623 citations

    5

    h-index

  5. Applied Economics Letters

    5 publications · 183 citations

    5

    h-index

1–5