Bayesian Copula Models
Bayesian Copula Models is a statistical modeling framework that integrates copula functions with Bayesian inference to jointly model multivariate dependencies by separating the specification of marginal distributions from the dependence structure, while formally accounting for parameter uncertainty through posterior distributions.
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5.4K
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318
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177
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2017–2026
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Mojtaba Sadegh, Elisa Ragno, Amir AghaKouchak · Water Resources Research · 2017 · 340 citations · Full text
Copula Models for Aggregating Expert Opinions
Mohamed N. Jouini, Robert T. Clemen · Operations Research · 1996 · 156 citations
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Delft University of Technology
Delft, The Netherlands
6 h-index
18 publications
1.3K citations

Hohai University
Nanjing, China
5 h-index
15 publications
279 citations

Beijing Normal University
Beijing, China
5 h-index
28 publications
975 citations

University of Regina
Regina, Canada
5 h-index
15 publications
427 citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
9 publications
197 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
8 publications
470 citations

UNSW Sydney
Sydney, Australia
4 h-index
9 publications
284 citations
Memorial University of Newfoundland
St. John's, Canada
4 h-index
10 publications
527 citations
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6 publications · 228 citations
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CSDA · 4 publications · 124 citations
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