M. Csorgo and P. Revesz, Quantile process approximations, The Annals of Statistics, vol.6, issue.4, pp.882-894, 1978.

M. Csorgo and P. Revesz, Strong Approximation Theorems in Probability and Statistics, 1981.

C. De-boor, A practical guide to splines, 2001.

L. C. Evans and R. F. Gariepy, Measure Theory and Fine Properties of Functions, 1992.

H. Federer, Geometric Measure Theory, 1969.

V. Koltchinskii, M-estimation, convexity and quantiles, The Annals of Statistics, vol.25, issue.2, pp.435-477, 1997.

S. Mallat, A Wavelet Tour of Signal Processing, 1990.

E. Mammen and A. Tsybakov, Asymptotical minimax recovery of sets with smooth boundaries, The Annals of Statistics, vol.23, issue.2, pp.502-524, 1995.

W. Polonik, Minimum volume sets and generalized quantile processes, Stochastic Processes and their Applications, vol.69, pp.1-24, 1997.

P. Rigollet and R. Vert, Fast rates for plug-in estimators of density level sets, Bernoulli, vol.14, issue.4, pp.1154-1178, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00114180

C. Scott and R. Nowak, Learning Minimum Volume Sets, Journal of Machine Learning Research, vol.7, pp.665-704, 2006.

B. Silverman and G. Young, The bootstrap: to smooth or not to smooth, Biometrika, vol.7, issue.4, pp.469-479, 1987.

A. B. Tsybakov, On nonparametric estimation of density level sets, The Annals of Statistics, vol.25, issue.3, pp.948-960, 1997.

B. Y. Zuo and R. Serfling, General notions of statistical depth function, The Annals of Statistics, vol.28, issue.2, pp.461-482, 2000.