Heteroscedastic Forecasting
Heteroscedastic Forecasting is a forecasting framework that explicitly models and predicts time-varying uncertainty in forecast errors, distinguishing itself by accommodating non-constant variance structures in predictive distributions over time.
161
Publications
8K
Citations
341
Authors
223
Institutions
Publications per year
2017–2026
35
Parents
161
1–5 of 161
341
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1–5 of 341
223
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
8 publications
1.7K citations
Feng Chia University
Taichung, Taiwan
4 h-index
8 publications
280 citations
UCLouvain
Louvain-la-Neuve, Belgium
4 h-index
6 publications
774 citations

Universidad Carlos III de Madrid
Madrid, Spain
3 h-index
4 publications
141 citations

University of Manchester
Manchester, United Kingdom
3 h-index
4 publications
247 citations

The University of Sydney
Sydney, Australia
3 h-index
4 publications
173 citations
Heidelberg University
Heidelberg, Germany
3 h-index
3 publications
105 citations
Tinbergen Institute
Rotterdam, The Netherlands
3 h-index
6 publications
623 citations
1–8 of 223
15 publications · 1K citations
14
h-index
8 publications · 477 citations
8
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Repository · 7 publications · 150 citations
7
h-index
JBES · 5 publications · 623 citations
5
h-index
5 publications · 183 citations
5
h-index
1–5