Prediction Interval Coverage Probability

Prediction Interval Coverage Probability is a statistical metric that quantifies the proportion of observed outcomes that fall within a specified prediction interval across multiple forecasts, serving to evaluate the empirical reliability of interval forecasting methods.

82

Publications

5.7K

Citations

188

Authors

118

Institutions

Publications per year

2017–2026

36

Authors

188

  1. AK
    Abbas Khosravi

    Deakin University, Australia

    5 publications · 1.1K citations

    5

    h-index

  2. PV
    Paolo Vidoni

    University of Udine, Italy

    4 publications · 84 citations

    4

    h-index

  3. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    3 publications · 109 citations

    3

    h-index

  4. SN
    Saeid Nahavandi

    Deakin University, Australia

    3 publications · 855 citations

    3

    h-index

  5. RA
    Ronay Ak

    National Institute of Standards and Technology, United States

    3 publications · 109 citations

    3

    h-index

1–5 of 188

Venues

  1. Journal of Time Series Analysis

    4 publications · 111 citations

    4

    h-index

  2. 4

    h-index

  3. Technometrics

    4 publications · 181 citations

    4

    h-index

  4. Energy Reports

    3 publications · 118 citations

    3

    h-index

  5. Energies

    3 publications · 74 citations

    3

    h-index

1–5