Model Confidence Set
A Model Confidence Set is a statistical procedure that identifies a subset of competing forecast models, ranked within a broader model space, which with a specified level of confidence contains the true data-generating model according to a defined loss criterion.
80
Publications
5.8K
Citations
162
Authors
109
Institutions
Publications per year
2017–2026
38
Parents
80
Ambiguity in portfolio selection
Georg Ch. Pflug, David Wozabal · Quantitative Finance · 2007 · 268 citations
Uniform Inference in Autoregressive Models
Anna Mikusheva · Econometrica · 2007 · 203 citations
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109

University of Padua
Padua, Italy
4 h-index
4 publications
155 citations
University of Southampton
Southampton, United Kingdom
3 h-index
3 publications
48 citations

University of Rome Tor Vergata
Rome, Italy
3 h-index
3 publications
117 citations

Aarhus University
Aarhus, Denmark
3 h-index
4 publications
156 citations
University of Vienna
Vienna, Austria
3 h-index
5 publications
588 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
5 publications
73 citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
39 citations

University of Liverpool
Liverpool, United Kingdom
2 h-index
3 publications
40 citations
1–8 of 109
9 publications · 466 citations
9
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5 publications · 105 citations
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Repository · 4 publications · 168 citations
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3 publications · 182 citations
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3 publications · 2.8K citations
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