S. Dede, An empirical central limit theorem in L 1 for stationary sequences, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00347334

D. Barrio, E. Giné, E. Et-matrán, and C. , Central limit theorems for the Wasserstein distance between the empirical and the true distributions. The Annals of Probability, pp.1009-1071, 1999.

J. Dedecker and C. Et-prieur, New dependence coefficients. Examples and applications to statistics, Probability Theory and Related Fields, vol.95, issue.2, pp.203-236, 2005.
DOI : 10.1007/s00440-004-0394-3

H. Hennion and L. Et-hervé, Limit theorems for Markov chains and stochastic properties of dynamical systems by quasi-compactness, Lecture Notes in Mathematics, vol.1766, p.1766, 2001.
DOI : 10.1007/b87874

I. A. Ibragimov, Some Limit Theorems for Stationary Processes, Theory of Probability & Its Applications, vol.7, issue.4, pp.349-382, 1962.
DOI : 10.1137/1107036

M. Rosenblatt, A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION, Proceedings of the National Academy of Sciences, vol.42, issue.1, 1956.
DOI : 10.1073/pnas.42.1.43

D. Voln´yvoln´y, Approximating martingales and the central limit theorem for strictly stationary processes, Stochastic Processes and their Applications, pp.41-74, 1993.