CCOPULA Procedure

References

  • Bentley, J. (1980). “Multidimensional Divide-and-Conquer.” Communications of the ACM 23:214–229.

  • Cherubini, U., Luciano, E., and Vecchiato, W. (2004). Copula Methods in Finance. Chichester, UK: John Wiley & Sons.

  • Devroye, L. (1986). Non-uniform Random Variate Generation. New York: Springer-Verlag. http://luc.devroye.org/rnbookindex.html.

  • Fisher, N. I., and Switzer, P. (2001). “Graphical Assessment of Dependence: Is a Picture Worth 100 Tests?” American Statistician 55:233–239.

  • Genest, C., and Boies, J.-C. (2003). “Detecting Dependence with Kendall Plots.” American Statistician 57:275–284.

  • Langrené, N., and Warin, X. (2020). “Fast Multivariate Empirical Cumulative Distribution Function with Connection to Kernel Density Estimation.” https://arxiv.org/abs/2005.03246.

  • Marshall, A. W., and Olkin, I. (1988). “Families of Multivariate Distributions.” Journal of the American Statistical Association 83:834–841.

  • McNeil, A., Frey, R., and Embrechts, P. (2005). Quantitative Risk Management: Concepts, Techniques, and Tools. Princeton, NJ: Princeton University Press.

  • Nolan, J. P. (2010). Stable Distributions: Models for Heavy Tailed Data. Boston: Birkhäuser.

  • Sklar, A. (1959). “Fonctions de répartition à n dimensions et leurs marges [Distribution functions with n dimensions and their margins].” Publications de l’Institut de Statistique de L’Université de Paris 8:229–231.

  • Wu, F., Valdez, E., and Sherris, M. (2007). “Simulating from Exchangeable Archimedean Copulas.” Communications in Statistics—Simulation and Computation 36:1019–1034.

Last updated: November 24, 2025