Recursive Forecasting
Recursive Forecasting is a time series prediction methodology within forecasting theory that, as a recursive process, iteratively updates its input using prior forecasts rather than actual observations to generate subsequent predictions over multiple horizons.
71
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5.1K
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149
Authors
98
Institutions
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2017–2026
17
Variants
Iterative Forecasting
71
R-MAT: A Recursive Model for Graph Mining
Deepayan Chakrabarti, Yiping Zhan, Christos Faloutsos · 2004 · 1.3K citations · Full text
A simple recursive forecasting model
William A. Branch, George W. Evans · Economics Letters · 2006 · 291 citations
Computing, Economics, Mathematics +12
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Lancaster University
Lancaster, United Kingdom
5 h-index
10 publications
525 citations
University of California San Diego
San Diego, United States
4 h-index
5 publications
430 citations

Monash University
Melbourne, Australia
3 h-index
3 publications
191 citations

Federal Reserve Bank of St. Louis
St Louis, United States
3 h-index
5 publications
543 citations
Université Libre de Bruxelles
Brussels, Belgium
3 h-index
4 publications
131 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
406 citations

Australian National University
Canberra, Australia
2 h-index
4 publications
102 citations
University of Newcastle Australia
Newcastle, Australia
2 h-index
4 publications
78 citations
1–8 of 98
5 publications · 327 citations
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Repository · 3 publications · 64 citations
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Repository · 3 publications · 102 citations
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2 publications · 86 citations
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2 publications · 203 citations
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