Nonlinear Forecasting Models
Nonlinear Forecasting Models is a class of econometric and machine learning models that belong to the broader category of forecasting methods, distinguished by their ability to capture complex, nonlinear relationships and interactions among variables in commodity price dynamics that linear models cannot adequately represent.
1.1K
Publications
72.7K
Citations
2.7K
Authors
1.2K
Institutions
Publications per year
2017–2026
401
Parents
1.1K
Predicting chaotic time series
J. Doyne Farmer, John J. Sidorowich · Physical Review Letters · 1987 · 1.9K citations
1–5 of 1.1K
2.7K
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University of California San Diego, United States
10 publications · 2.6K citations
10
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1–5 of 2.7K
1.2K
North Carolina State University
Raleigh, United States
17 h-index
26 publications
2.9K citations
University of California San Diego
San Diego, United States
14 h-index
20 publications
6.3K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
38 publications
2.5K citations
Texas A&M University
College Station, United States
12 h-index
12 publications
868 citations

North China Electric Power University
Beijing, China
12 h-index
28 publications
864 citations

University of Tehran
Tehran, Iran
11 h-index
23 publications
806 citations

City University of Hong Kong
Hong Kong, Hong Kong
11 h-index
17 publications
1.3K citations

University of Pretoria
Pretoria, South Africa
11 h-index
17 publications
414 citations
1–8 of 1.2K
27 publications · 2.9K citations
22
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24 publications · 1.9K citations
21
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19 publications · 1.7K citations
19
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28 publications · 1.3K citations
19
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18 publications · 808 citations
15
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1–5