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What is Copula

Encyclopedia of Business Analytics and Optimization
A dependence model, defined as a multivariate distribution function over a hypercube with uniform marginal distributions.
Published in Chapter:
Estimating Risk with Copulas
Iva Mihaylova (University of St. Gallen, Switzerland)
Copyright: © 2014 |Pages: 14
DOI: 10.4018/978-1-4666-5202-6.ch079
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More Results
Copula-Based Multivariate Time Series Models
A dependence model, defined as a multivariate distribution function over a hypercube with uniform marginal distributions. The usefulness of copulas consists in the fact that any of them can link any marginal distribution into a valid multivariate distribution. Having in mind that the set of available parametric multivariate distributions is considerably smaller than the set of the parametric univariate distributions, a conclusion can be drawn that copulas expand the set of possible multivariate distributions and consequently increase the probability of finding an optimal dependence model for the concretely analyzed data.
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E-Risk Insurance Product Design: A Copula Based Bayesian Belief Network Model
Joint distribution of random variables can be expressed as a function of marginal distributions. It also takes into account correlation amongst the marginal distributions.
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