References
- Sklar, A. Fonctions de répartition à n dimensions et leurs marges. Publications de l'Institut de statistique de l'Université de Paris, 1959;8:229–231.
- Nelsen, RB. Concordance and copulas: a survey. In: Carles MC, Josep F, José AR editors. Distributions with given margins and statistical modelling. Dordrecht: Kluwer Academic Publishers; 2002. 169–178.
- Nelsen, RB (2006). An introduction to copulas. 2nd ed., New York: Springer.
- Kolev, N, Anjos, U, De Mendes, BV. Copulas: a review and recent developments. Stoch Models, 2006;22:617–660. (doi: 10.1080/15326340600878206)
- Choroś, B, Ibragimov, R, Permiakova, E. Copula estimation. In: Jaworski P, Durante F, Härdle WK, Rychlik T, editors. Copula theory and its applications. Lecture Notes in Statistics, vol. 198. Berlin: Springer; 2010. p. 77–91.
- Genest, C, Rivest, LP. Statistical inference procedures for bivariate Archimedean copulas. J Am Stat Assoc., 1993;88:1034–1043. (doi: 10.1080/01621459.1993.10476372)
- Kim, G, Silvapulle, MJ, Silvapulle, P. Comparison of semiparametric and parametric methods for estimating copulas. Comput Stat Data Anal., 2007;51:2836–2850. (doi: 10.1016/j.csda.2006.10.009)
- Silva, RS, Lopes, HF. Copula, marginal distributions and model selection: a Bayesian note. Stat Comput., 2008;18:313–320. (doi: 10.1007/s11222-008-9058-y)
- Huard, D, Evin, G, Favre, AC. Bayesian copula selection. Comput Stat Data Anal., 2006;51:809–822. (doi: 10.1016/j.csda.2005.08.010)
- Genest, C, Gendron, M, Bourdeau-Brien, M. The advent of copulas in finance. Eur J Finance., 2009;15:609–618. (doi: 10.1080/13518470802604457)
- Deheuvels, P. La fonction de dépendance empirique et ses propriétés, un test non paramétrique d'indépendance. Bulletin de l'Académie Royale de Belgique Classes de Sciences, 1979;65:274–292.
- Fermanian, JD, Radulovic, D, Wegkamp, M. Weak convergence of empirical copulas processes. Bernoulli., 2004;10:847–860. (doi: 10.3150/bj/1099579158)
- Chen, SX, Huang, T. Nonparametric estimation of copula functions for dependence modelling. Can J Stat., 2007;35:265–282. (doi: 10.1002/cjs.5550350205)
- Genest, C, Masiello, E, Tribouley, K. Estimating copula densities through wavelets. Insur Math Econ., 2009;44:170–181. (doi: 10.1016/j.insmatheco.2008.07.006)
- Autin, F, Pennec, EL, Tribouley, K. Thresholding methods to estimate copula density. J Multivariate Anal., 2010;101:200–222. (doi: 10.1016/j.jmva.2009.07.009)
- Pitt, M, Chan, D, Kohn, R. Efficient Bayesian inference for Gaussian copula regression models. Biometrika., 2006;93:537–554. (doi: 10.1093/biomet/93.3.537)
- Hoff, PD. Extending the rank likelihood for semiparametric copula estimation. Ann Appl Stat., 2007;1:265–283. (doi: 10.1214/07-AOAS107)
- Müller, P, Quintana, FA. Nonparametric Bayesian data analysis. Stat Sci., 2004;19:95–110. (doi: 10.1214/088342304000000017)
- Guillotte, S, Perron, F. A Bayesian estimator for the dependence function of a bivariate extreme-value distribution. Can J Stat., 2008;36:383–396. (doi: 10.1002/cjs.5550360304)
- Guillotte, S, Perron, F. Bayesian estimation of a bivariate copula using the Jeffreys prior. Bernoulli., 2012;18:496–519. (doi: 10.3150/10-BEJ345)
- Silva, R, Gramacy, RB (2009). MCMC methods for Bayesian mixtures of copulas. In: 12th International Conference on Artificial Intelligence and Statistics, vol. 5. Clearwater, FL: Clearwater Beach. p. 512–519.
- Durante, F, Sempi, C (2010). Copula theory: an introduction. In: Jaworski P, Durante F, Härdle WK, Rychlik T editors. Copula theory and its applications. Lecture Notes in Statistics, vol. 198. Berlin: Springer. p. 3–31.
- Lo, AY. On a class of Bayesian nonparametric estimates I: density estimates. Ann Stat., 1984;12:351–357. (doi: 10.1214/aos/1176346412)
- Ferguson, TS (1983). Bayesian density estimation by mixtures of normal distributions. In: Rizvi H, Rustagi J editors. New York: Academic Press. p. 287–303. Recent advances in statistics.
- Kalli, M, Griffin, JE, Walker, SG. Slice sampling mixture models. Stat Comput., 2010;21:93–105. (doi: 10.1007/s11222-009-9150-y)
- Qu, L, Yin, W. Copula density estimation by total variation penalized likelihood with linear equality constraints. Comput Stat Data Anal., 2012;56:384–398. (doi: 10.1016/j.csda.2011.07.016)
- Azzalini, A, Dalla Valle, A. The multivariate skew-normal distribution. Biometrika., 1996;83:715–726. (doi: 10.1093/biomet/83.4.715)