C. Amblard and S. Girard, A new bivariate extension of FGM copulas, vol.70, pp.1-17, 2009.
DOI : 10.1007/s00184-008-0174-7

URL : https://hal.archives-ouvertes.fr/inria-00134433

N. Blomqvist, On a measure of dependence between two random variables, The Annals of Mathematical Statistics, vol.21, pp.593-600, 1950.

A. M. Bruckner and E. Ostrow, Some function classes related to the class of convex functions, Pacific J. Math, vol.12, pp.1203-1215, 1962.

E. , D. Bernardino, and D. Rullì-ere, On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators, Dependence Modeling, vol.1, pp.1-36, 2013.

A. Dolati and M. Ubeda-flores, Constructing copulas by means of pairs of order statistics, Kybernetika, vol.45, pp.992-1002, 2009.

F. Durante, A new class of symmetric bivariate copulas. Nonparametric Statistics, vol.18, pp.499-510, 2006.
DOI : 10.1080/10485250701262242

F. Durante, J. Fernandez-sanchez, and W. Trutschnig, Solution to an open problem about a tranformation on the space of copulas, Dependence Modeling, vol.2, pp.65-72, 2014.

F. Durante, R. Foschi, and P. Sarkoci, Distorted copulas: constructions and tail dependence, Communications in Statistics-Theory and Methods, vol.39, pp.2288-2301, 2010.
DOI : 10.1080/03610920903039506

URL : http://eprints.imtlucca.it/709/1/Durante_Foschi_Sarkoci.pdf

F. Durante, S. Girard, and G. Mazo, Copulas based on Marshall-Olkin machinery, Marshall-Olkin Distributions. Advances in Theory and Applications, vol.141, pp.15-31, 2015.
DOI : 10.1007/978-3-319-19039-6_2

URL : https://hal.archives-ouvertes.fr/hal-01153150

F. Durante, S. Girard, and G. Mazo, Marshall-Olkin type copulas generated by a global shock, Journal of Computational and Applied Mathematics, vol.296, pp.638-648, 2016.
DOI : 10.1016/j.cam.2015.10.022

URL : https://hal.archives-ouvertes.fr/hal-01138228

C. Genest, J. Neslehovà, and N. B. , Spearman's footrule and Gini's gamma: a review with complements, Journal of Nonparametric Statistics, vol.22, pp.937-954, 2010.
DOI : 10.1080/10485250903499667

H. Joe, Multivariate models and dependence concepts. Monographs on statistics and applied probability, vol.73, 1997.

E. P. Klement, R. Mesiar, and E. Pap, Transformations of copulas. Kybernetika, vol.41, pp.425-434, 2005.
DOI : 10.1007/978-3-540-44465-7_21

F. Michiels and A. D. Schepper, How to improve the fit of Archimedean copulas by means of transforms, Statistical Papers, vol.53, pp.345-355, 2012.

P. M. Morillas, A method to obtain new copulas from a given one, Metrika, vol.61, pp.169-184, 2005.
DOI : 10.1007/s001840400330

R. B. Nelsen, An introduction to copulas, Second Edition, Springer Series in Statistics, 2006.

B. Schweizer and E. F. Wolff, On nonparametric measures of dependence for random variables, The Annals of Statistics, vol.9, pp.879-885, 1995.

E. A. Valdez and Y. Xiao, On the distortion of a copula and its margins, Scandinavian Actuarial Journal, vol.4, pp.292-317, 2011.

M. Zhang, Modelling total tail dependence along diagonals, Insurance: Mathematics and Economics, vol.42, pp.73-80, 2008.
DOI : 10.1016/j.insmatheco.2007.01.002