Recursive Forecast Updating
Recursive Forecast Updating is a forecasting methodology that iteratively refines point or probabilistic predictions by recursively incorporating ex post observations to adjust the underlying model or parameters, thereby distinguishing itself from non-recursive methods through its systematic feedback of realized outcomes into subsequent forecast horizons.
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2017–2026
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Université Libre de Bruxelles
Brussels, Belgium
1 h-index
1 publications
27 citations
TU Dortmund University
Dortmund, Germany
1 h-index
1 publications
27 citations
University of Oregon
Eugene, United States
1 h-index
1 publications
145 citations
Texas A&M University
College Station, United States
1 h-index
3 publications
90 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
50 citations

University of Manchester
Manchester, United Kingdom
1 h-index
1 publications
16 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
2 publications
124 citations
Nanjing University
Nanjing, China
1 h-index
3 publications
186 citations
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1 publications · 62 citations
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1 publications · 30 citations
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Repository · 1 publications · 27 citations
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