Forecast Interval Estimation

Forecast Interval Estimation is a statistical methodology that, as a distinct approach within uncertainty quantification, generates bounded ranges expected to contain future observations with a specified probability, thereby distinguishing itself from point forecasting by explicitly characterizing predictive uncertainty.

73

Publications

8.9K

Citations

172

Authors

114

Institutions

Publications per year

2017–2026

24

Authors

172

  1. JW
    Jason Wu

    Federal Reserve Board of Governors, United States

    3 publications · 71 citations

    3

    h-index

  2. RA
    Robert A. Stine

    University of Pennsylvania, United States

    2 publications · 240 citations

    2

    h-index

  3. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    2 publications · 56 citations

    2

    h-index

  4. HL
    Hao Liang

    University of Alberta, Canada

    2 publications · 273 citations

    2

    h-index

  5. YH
    Yosef Hochberg

    Tel Aviv University, Israel

    2 publications · 25 citations

    2

    h-index

1–5 of 172

Venues

  1. Journal of Forecasting

    7 publications · 228 citations

    7

    h-index

  2. 4

    h-index

  3. International Journal of Forecasting

    4 publications · 209 citations

    4

    h-index

  4. Technometrics

    2 publications · 25 citations

    2

    h-index

  5. IEEE Transactions on Power Systems

    2 publications · 231 citations

    2

    h-index

1–5