Prediction Interval Coverage

Prediction Interval Coverage is a statistical metric that quantifies the proportion of observed outcomes falling within the predicted intervals across multiple predictions, thereby assessing the reliability of interval forecasts in relation to their intended confidence level.

118

Publications

5.3K

Citations

274

Authors

138

Institutions

Publications per year

2017–2026

64

Authors

274

  1. SN
    Saeid Nahavandi

    Deakin University, Australia

    7 publications · 1.2K citations

    7

    h-index

  2. AK
    Abbas Khosravi

    Deakin University, Australia

    7 publications · 1.2K citations

    7

    h-index

  3. PV
    Paolo Vidoni

    University of Udine, Italy

    3 publications · 56 citations

    3

    h-index

  4. DC
    Doug Creighton

    Deakin University, Australia

    3 publications · 1K citations

    3

    h-index

  5. HL
    Hannes Leeb

    University of Vienna, Austria

    3 publications · 85 citations

    3

    h-index

1–5 of 274

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 186 citations

    10

    h-index

  2. 6

    h-index

  3. Technometrics

    5 publications · 169 citations

    5

    h-index

  4. IEEE Access

    4 publications · 186 citations

    4

    h-index

  5. The American Statistician

    4 publications · 184 citations

    4

    h-index

1–5