Conditional Density Forecasting
Conditional Density Forecasting is a probabilistic forecasting framework that models the full conditional probability distribution of a future outcome given a set of explanatory variables and historical information, thereby enabling comprehensive uncertainty quantification in predictive analytics.
57
Publications
3.2K
Citations
125
Authors
87
Institutions
Publications per year
2017–2026
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125
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University of Oxford
Oxford, United Kingdom
4 h-index
5 publications
612 citations

Universidad Carlos III de Madrid
Madrid, Spain
3 h-index
3 publications
80 citations
Queen Mary University of London
London, United Kingdom
2 h-index
2 publications
197 citations
Tinbergen Institute
Rotterdam, The Netherlands
2 h-index
5 publications
186 citations

University of Warwick
Coventry, United Kingdom
2 h-index
2 publications
386 citations

Aarhus University
Aarhus, Denmark
2 h-index
3 publications
89 citations

University of York
York, United Kingdom
2 h-index
4 publications
108 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
3 publications
132 citations
1–8 of 87
9 publications · 863 citations
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Repository · 7 publications · 196 citations
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5 publications · 228 citations
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3 publications · 240 citations
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Repository · 3 publications · 102 citations
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