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About Copula (Probability Theory)
Copulas are multivariate probability distributions used to describe dependence between random variables. Sklar's theorem states that any multivariate joint distribution can be written in terms of univariate marginal distributions and a copula. Copulas allow one to model marginal distributions and dependence structure separately. Common copula families include Gaussian, Archimedean, and empirical copulas. Copulas are useful in applications such as quantitative finance to model dependence during market downturns.
Detailed Information
| Author: | ['user2127'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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