N. Asin and J. Johannes, Adaptive non-parametric estimation in the presence of dependence, p.3740716, 2016.

F. Autin, E. L. Pennec, and K. Tribouley, Thresholding methods to estimate copula density, J. Multivariate Anal, vol.101, issue.1, p.2557629, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00446297

K. Bertin, Minimax exact constant in sup-norm for nonparametric regression with random design, J. Statist. Plann. Inference, vol.123, issue.2, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00007738

K. Bertin, Sharp adaptive estimation in sup-norm for d-dimensional Hölder classes, Math. Methods Statist, vol.14, issue.3, 2005.

K. Bertin and N. Klutchnikoff, Minimax properties of beta kernel estimators, J. Statist. Plann. Inference, vol.141, issue.7, p.2775207, 2011.

K. Bertin and N. Klutchnikoff, Adaptive estimation of a density function using beta kernels, ESAIM Probab. Stat, vol.18, pp.400-417, 2014.

Z. I. Botev, J. F. Grotowski, and D. P. Kroese, Kernel density estimation via diffusion, Ann. Statist, vol.38, issue.5, p.2722460, 2010.

T. Bouezmarni and J. V. Rombouts, Nonparametric density estimation for multivariate bounded data, J. Statist. Plann. Inference, vol.140, issue.1, pp.139-152, 2010.

O. Bousquet, A Bennett concentration inequality and its application to suprema of empirical processes, C. R. Math. Acad. Sci. Paris, vol.334, issue.6, 2002.

A. W. Bowman, An alternative method of cross-validation for the smoothing of density estimates, Biometrika, vol.71, issue.2, 1984.

C. Butucea, Exact adaptive pointwise estimation on Sobolev classes of densities, ESAIM Probab. Stat, vol.5, 2001.

S. X. Chen, Beta kernel estimators for density functions, Comput. Statist. Data Anal, vol.31, issue.2, pp.131-145, 1999.

S. Chiu, Bandwidth selection for kernel density estimation, Ann. Statist, vol.19, issue.4, 1991.

D. Cline and J. Hart, Kernel estimation of densities with discontinuities or discontinuous derivatives, Statistics, vol.22, issue.1, 1991.

L. Devroye and L. Györfi, Nonparametric Density Estimation. Wiley Series in Probability and Mathematical Statistics: Tracts on Probability and Statistics, p.780746, 1985.

E. Di-nezza, G. Palatucci, and E. Valdinoci, Hitchhiker's guide to the fractional Sobolev spaces, Bull. Sci. Math, vol.136, issue.5, p.2944369, 2012.

A. Goldenshluger and O. Lepski, Universal pointwise selection rule in multivariate function estimation, Bernoulli, vol.14, issue.4, 2008.

A. Goldenshluger and O. Lepski, Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality, Ann. Statist, vol.39, issue.3, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01265258

A. Goldenshluger and O. Lepski, On adaptive minimax density estimation on R d, Probab. Theory Related Fields, vol.159, issue.3-4, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01265245

W. B. Johnson, G. Schechtman, and J. Zinn, Best constants in moment inequalities for linear combinations of independent and exchangeable random variables, Ann. Probab, vol.13, issue.1, 1985.

M. C. Jones, Simple boundary correction for kernel density estimation, Stat. Comput, vol.3, issue.3, p.1125651, 1993.

A. Korostelev and M. Nussbaum, The asymptotic minimax constant for sup-norm loss in nonparametric density estimation, Bernoulli, vol.5, issue.6, pp.1099-1118, 1999.

C. Lacour and P. Massart, Minimal penalty for Goldenshluger-Lepski method, Stochastic Process. Appl, vol.126, issue.12, pp.3774-3789, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01121989

M. Lejeune and P. Sarda, Smooth estimators of distribution and density functions, Comput. Statist. Data Anal, vol.14, issue.4, 1992.

O. Lepski, Asymptotically minimax adaptive estimation. I. Upper bounds. Optimally adaptive estimates, Teor. Veroyatn. Primen, vol.36, issue.4, p.1147167, 1991.

O. Lepski, Adaptive estimation over anisotropic functional classes via oracle approach, Ann. Statist, vol.43, issue.3, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01265235

O. Lepski and V. Spokoiny, Optimal pointwise adaptive methods in nonparametric estimation, Ann. Statist, vol.25, issue.6, pp.2512-2546, 1997.

J. S. Marron and D. Ruppert, Transformations to reduce boundary bias in kernel density estimation, J. Roy. Statist. Soc. Ser. B, vol.56, issue.4, p.1293239, 1994.

H. Müller, Smooth optimum kernel estimators near endpoints, Biometrika, vol.78, issue.3, 1991.

H. Müller and U. Stadtmüller, Multivariate boundary kernels and a continuous least squares principle, J. Roy. Statist. Soc. Ser. B, vol.61, issue.2, pp.439-458, 1999.

B. Opic and J. Rákosník, Estimates for mixed derivatives of functions from anisotropic Sobolev-Slobodeckij spaces with weights, Quart. J. Math. Oxford Ser, issue.2, p.1120995, 1991.

E. Parzen, On estimation of a probability density function and mode, Ann. Math. Stat, vol.33, p.143282, 1962.

P. Rigollet and A. Tsybakov, Exponential screening and optimal rates of sparse estimation, Ann. Statist, vol.39, issue.2, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00606059

M. Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math. Stat, vol.27, pp.832-837, 1956.

J. Rousseau, Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparametric estimation of the density, Ann. Statist, vol.38, issue.1, p.2589319, 2010.

M. Rudemo, Empirical choice of histograms and kernel density estimators. Scand, J. Stat, vol.9, issue.2, pp.65-78, 1982.

E. F. Schuster, Incorporating support constraints into nonparametric estimators of densities, Comm. Statist. Theory Methods, vol.14, issue.5, pp.1123-1136, 1985.

B. W. Silverman, Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability, p.848134, 1986.

J. Simon and . Sobolev, Besov and Nikolskii fractional spaces: Imbeddings and comparisons for vector valued spaces on an interval, Ann. Mat. Pura Appl, issue.4, p.1108473, 1990.

H. Triebel, Interpolation Theory, Function Spaces, Differential Operators, p.1328645, 1995.

A. B. Tsybakov, Introduction to Nonparametric Estimation, Springer Series in Statistics, p.2724359, 2009.