Prediction Interval Evaluation
Prediction Interval Evaluation is a methodological framework within estimation validation that assesses the accuracy and reliability of prediction intervals by measuring their calibration, coverage, and sharpness in capturing future observations under uncertainty.
266
Publications
16.1K
Citations
672
Authors
374
Institutions
Publications per year
2017–2026
83
Parents
266
1–5 of 266
672
10
h-index
10
h-index
9
h-index
6
h-index
4
h-index
1–5 of 672
374

Deakin University
Burwood, Australia
11 h-index
31 publications
4.2K citations
General Electric (United States)
Boston, United States
10 h-index
11 publications
389 citations
Iowa State University
Ames, United States
5 h-index
7 publications
392 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
5 publications
469 citations

La Trobe University
Melbourne, Australia
4 h-index
11 publications
1.2K citations
University of Mannheim
Mannheim, Germany
4 h-index
5 publications
198 citations
University of Jordan
Amman, Jordan
4 h-index
4 publications
164 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
627 citations
1–8 of 374
18 publications · 622 citations
14
h-index
15 publications · 1K citations
12
h-index
9 publications · 405 citations
9
h-index
Repository · 6 publications · 142 citations
6
h-index
6 publications · 125 citations
6
h-index
1–5