S. Boucheron, G. Lugosi, and P. Massart, Concentration inequalities A nonasymptotic theory of independence
URL : https://hal.archives-ouvertes.fr/hal-00794821

A. S. Dalalyan, Theoretical guarantees for approximate sampling from smooth and log-concave densities, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.91, issue.3, 2016.
DOI : 10.1016/j.spl.2014.04.002
URL : http://arxiv.org/pdf/1412.7392

A. Joulin and Y. Ollivier, Curvature, concentration and error estimates for Markov chain Monte Carlo, The Annals of Probability, vol.38, issue.6, pp.2418-2442, 2010.
DOI : 10.1214/10-AOP541
URL : http://doi.org/10.1214/10-aop541

I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus. Graduate Texts in Mathematics, 1991.

S. Meyn and R. Tweedie, Markov Chains and Stochastic Stability, 2009.