A. D. Barbour, R. M. Gerrard, and G. Reinert, Iterates of expanding maps. Probab. Theory Relat, pp.151-180, 2000.

J. M. Bardet, P. Doukhan, G. Lang, and N. Ragache, Dependent Linderberg central limit theorem and some applications, 2007.
DOI : 10.1051/ps:2007053
URL : http://arxiv.org/abs/math/0701872

H. C. Berbee, Random walks with stationary increments and renewal theory, Math. Cent. Tracts. Amsterdam, 1979.

P. Collet, S. Martinez, and B. Schmitt, Exponential inequalities for dynamical measures of expanding maps of the interval, Probability Theory and Related Fields, vol.123, issue.3, pp.301-322, 2002.
DOI : 10.1007/s004400200204

C. Coulon-prieur and P. Doukhan, A triangular central limit theorem under a new weak dependence condition, Statistics & Probability Letters, vol.47, issue.1, pp.61-68, 2000.
DOI : 10.1016/S0167-7152(99)00138-8

D. Dacunha-castelle and M. Duflo, Probì emesàemesà temps mobile.Deuxì emé edition, 1993.

J. Dedecker and C. 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

J. Dedecker, P. Doukhan, G. Lang, J. R. Leon, S. Louhichi et al., Weak dependence, Lect. notes in Stat, p.XIV, 2007.
DOI : 10.1007/978-0-387-69952-3_2
URL : https://hal.archives-ouvertes.fr/hal-00686031

C. Deniau, G. Oppenheim, and M. C. Viano, Estimation de paramètre paréchantillonnageparéchantillonnage aléatoire. (French. English summary) [Random sampling and parametric estimation, 1988.

P. Doukhan and S. Louhichi, A new weak dependence condition and applications to moment inequalities. Stochastic Process, Appl, vol.84, pp.313-342, 1999.

N. Guillotin-plantard and D. Schneider, LIMIT THEOREMS FOR SAMPLED DYNAMICAL SYSTEMS, Stochastics and Dynamics, vol.03, issue.04, pp.477-497, 2003.
DOI : 10.1142/S0219493703000863

F. Hofbauer and G. Keller, Ergodic properties of invariant measures for piecewise monotonic transformations, Mathematische Zeitschrift, vol.7, issue.1, pp.119-140, 1982.
DOI : 10.1007/BF01215004

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

J. F. Kingman, The ergodic theory of subadditive stochastic processes, J. R. Statist. Soc. B30, pp.499-510, 1968.

M. Lacey, On weak convergence in dynamical systems to self-similar processes with spectral representation, Transactions of the American Mathematical Society, vol.328, issue.2, pp.767-778, 1991.
DOI : 10.1090/S0002-9947-1991-1066446-5

M. Lacey, K. Petersen, D. Rudolph, and M. Wierdl, Random ergodic theorems with universally representative sequences, Ann. Inst. H. Poincaré Probab. Statist, vol.30, pp.353-395, 1994.

A. Lasota and J. A. Yorke, On the existence of invariant measures for piecewise monotonic transformations, Transactions of the American Mathematical Society, vol.186, pp.481-488, 1974.
DOI : 10.1090/S0002-9947-1973-0335758-1

F. Merlevède and M. Peligrad, On the coupling of dependent random variables and applications . Empirical process techniques for dependent data, pp.171-193, 2002.

T. Morita, Local limit theorem and distribution of periodic orbits of Lasota-Yorke transformations with infinite Markov partition, Journal of the Mathematical Society of Japan, vol.46, issue.2, pp.309-343, 1994.
DOI : 10.2969/jmsj/04620309

M. Peligrad and S. Utev, Central limit theorem for linear processes, The Annals of Probability, vol.25, issue.1, pp.443-456, 1997.
DOI : 10.1214/aop/1024404295

E. Rio, About the Lindeberg method for strongly mixing sequences, ESAIM: Probability and Statistics, vol.1, pp.35-61, 1995.
DOI : 10.1051/ps:1997102

M. Rosenblatt, A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION, Proc. Nat. Acad. Sci. U. S. A. 42, pp.43-47, 1956.
DOI : 10.1073/pnas.42.1.43

Y. A. Rozanov and V. A. Volkonskii, Some limit theorems for random functions I. Theory Probab, Appl, vol.4, pp.178-197, 1959.

C. J. Stone, On local and ratio limit theorems, Proc. Fifth Berkeley Sympos, pp.217-224, 1966.

S. A. Utev, Sums of random variables with ?-mixing condition, Asymptotical Analysis of Stochastic Processes Distributions, 1989.

S. A. Utev, Central limit theorem for dependent random variables, pp.519-528, 1990.

S. A. Utev, Sums of random variables with ?-mixing, Siberian Advances in Mathematics, vol.1, issue.3, pp.124-155, 1991.

C. S. Withers, Central Limit Theorems for dependent variables. I, Corrigendum in Z. Wahrsch. Verw. Gebiete 63, pp.509-534, 1981.
DOI : 10.1007/BF01025872