A. Bucher and H. Dette, A note on bootstrap approximations for the empirical copula process, Statistics & Probability Letters, vol.80, issue.23-24, pp.1925-1932, 2010.
DOI : 10.1016/j.spl.2010.08.021

A. Bucher and S. Volgushev, Empirical and sequential empirical copula processes under serial dependence, Journal of Multivariate Analysis, vol.119, 2011.
DOI : 10.1016/j.jmva.2013.04.003

T. Bouezmarni, J. V. Rombouts, and A. Taamouti, Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality, Journal of Business & Economic Statistics, vol.12, issue.6, pp.275-287, 2012.
DOI : 10.1016/0304-405X(89)90094-9

W. Darsow, B. Nguyen, and E. Olsen, Copulas and Markov processes, Illinois J Math, vol.36, pp.600-642, 1992.

C. Genest, J. Neslehova, and J. Quessy, Tests of symmetry for bivariate copulas, Annals of the Institute of Statistical Mathematics, vol.38, issue.4, pp.811-834, 2011.
DOI : 10.1007/s10463-011-0337-6

L. Gyorfi and H. Walk, Strongly consistent nonparametric tests of conditional independence Statistics and Probability Letters, pp.1145-1150, 2012.

D. Koller and N. Friedman, Probabilistic Graphical Models, 2009.

R. B. Nelsen, An introduction to copulas, 2006.
DOI : 10.1007/978-1-4757-3076-0

J. Segers, Asymptotics of empirical copula processes under nonrestrictive smoothness assumptions, Bernoulli, vol.183, pp.764-782, 2012.

A. W. Van-der-vaart and J. A. Wellner, Weak convergence and empirical processes, 1996.
DOI : 10.1007/978-1-4757-2545-2

A. W. Van-der-vaart, Asymptotic Statistics, 1998.
DOI : 10.1017/CBO9780511802256

H. White, L. , and X. , Granger Causality and Dynamic Structural Systems, Granger Causality and Dynamic Structural Systems, pp.193-243, 2010.
DOI : 10.1093/jjfinec/nbq006