Abstract:Estimating copula parameters remains a challenge when dealing with multiple correlated variables. Focused studies on the application of uncommon copula functions are also still scarce. Asymmetric dependence is necessary to be taken into account as symmetric dependence may not always be sufficient to model real data dependence. Asymmetric copulas were constructed using the Archimedean family as the basis copula. Linear inversion, random search, and Particle Swarm Optimization (PSO) were used to compare the esti… Show more
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