Time Series Extrapolation is a predictive modeling technique that belongs to the class of time series analysis methods, distinguished by its specific focus on extending historical patterns in sequential data into the future to forecast values beyond the observed time window.
105
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9.4K
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220
Authors
141
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Publications per year
2017–2026
18
Parents
Publications
105
Neural Network Models for Time Series Forecasts
Tim Hill, Marcus O’Connor, William Remus · Management Science · 1996 · 464 citations
Computing, Mathematics, Forecasting +14
1–5 of 105
Authors
220
- JS
7
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- RF
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- MO
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1–5 of 220
Institutions
141
University of Pennsylvania
Philadelphia, United States
10 h-index
11 publications
758 citations
Lancaster University
Lancaster, United Kingdom
5 h-index
6 publications
356 citations
UNSW Sydney
Sydney, Australia
5 h-index
8 publications
1.1K citations
Case Western Reserve University
Cleveland, United States
4 h-index
4 publications
317 citations
Polish Academy of Sciences
Warsaw, Poland
2 h-index
3 publications
66 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
1.6K citations
Baruch College
New York, United States
2 h-index
2 publications
60 citations
University of Bath
Bath, United Kingdom
2 h-index
2 publications
53 citations
1–8 of 141
Venues
- International Journal of Forecasting
9 publications · 631 citations
9
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- Journal of Forecasting
8 publications · 1.9K citations
8
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- Journal of the American Statistical Association
5 publications · 1.1K citations
5
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- Scholarly Commons (University of Pennsylvania)
Repository · 3 publications · 313 citations
3
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- European Journal of Operational Research
2 publications · 36 citations
2
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1–5