Forecasting Model Evaluation
Forecasting Model Evaluation is a systematic method for assessing the accuracy, reliability, and generalizability of population health forecasting models by applying quantitative metrics and validation techniques to compare predicted outcomes against observed data.
1.3K
Publications
57.2K
Citations
4.8K
Authors
1.7K
Institutions
Publications per year
2017–2026
624
1.3K
PROBABILISTIC FORECASTING OF THE MASSES AND RADII OF OTHER WORLDS
The Astrophysical Journal · 2016 · 603 citations · Full text
Natural Sciences, Astronomy, Physics +15
1–5 of 1.3K
4.8K
8
h-index
NSF National Center for Atmospheric Research, United States
7 publications · 1.8K citations
7
h-index
6
h-index
NSF National Center for Atmospheric Research, United States
6 publications · 1.9K citations
6
h-index
6
h-index
1–5 of 4.8K
1.7K

NSF National Center for Atmospheric Research
Boulder, United States
30 h-index
142 publications
33.5K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
70 publications
3K citations
University of Oklahoma
Norman, United States
16 h-index
36 publications
2.2K citations
University of California, Los Angeles
Los Angeles, United States
14 h-index
31 publications
3.6K citations
Cooperative Institute for Research in Environmental Sciences
Boulder, United States
13 h-index
31 publications
3K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
13 h-index
41 publications
3.5K citations

North China Electric Power University
Beijing, China
13 h-index
49 publications
1.4K citations
University of Colorado Boulder
Boulder, United States
12 h-index
29 publications
2.6K citations
1–8 of 1.7K
38 publications · 2.5K citations
30
h-index
27 publications · 1.6K citations
22
h-index
26 publications · 1.4K citations
20
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JGR · 29 publications · 1.1K citations
20
h-index
Repository · 18 publications · 1.1K citations
15
h-index
1–5