Copula Estimation
Copula Estimation is a statistical method that belongs to the class of nonparametric techniques used to model the dependence structure between random variables by estimating a copula function, which separates the marginal distributions from the joint distribution to capture the underlying association pattern without assuming a specific parametric form.
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Authors
1.4K
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2017–2026
600
Parents
1.7K
Pair-copula constructions of multiple dependence
Kjersti Aas, Claudia Czado, Arnoldo Frigessi et al. · Insurance Mathematics and Economics · 2007 · 2K citations · Full text
Understanding Relationships Using Copulas
Edward W. Frees, Emiliano A. Valdez · North American Actuarial Journal · 1998 · 1.3K citations
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Technical University of Munich
Munich, Germany
26 h-index
89 publications
7.7K citations

Université Laval
Québec, Canada
23 h-index
56 publications
8.6K citations
UCLouvain
Louvain-la-Neuve, Belgium
20 h-index
38 publications
1.9K citations
University of Almería
Almería, Spain
18 h-index
34 publications
941 citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
39 publications
1.1K citations

University of Waterloo
Waterloo, Canada
16 h-index
31 publications
2.2K citations

University of British Columbia
Vancouver, Canada
16 h-index
26 publications
2.9K citations
Texas A&M University
College Station, United States
16 h-index
32 publications
1.4K citations
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64 publications · 4.2K citations
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CSDA · 53 publications · 3.2K citations
27
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44 publications · 3.8K citations
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Repository · 57 publications · 1.9K citations
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18 publications · 2.5K citations
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