P. Bickel, Y. Ritov, and A. Tsybakov, Simultaneous analysis of Lasso and Dantzig selector. The Annals of Statistics, pp.1705-1732, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00401585

S. Boucheron, G. Lugosi, and P. Massart, Concentration Inequalities: A Nonasymptotic Theory of Independence
DOI : 10.1093/acprof:oso/9780199535255.001.0001
URL : https://hal.archives-ouvertes.fr/hal-00794821

S. Cohen and E. L. Pennec, Conditional density estimation by penalized likelihood model selection and applications, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00575462

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression. The Annals of Statistics, pp.407-499, 2004.

P. Massart, Concentration inequalities and model selection, Lecture Notes in Mathematics, vol.33, 2003.

P. Massart and C. Meynet, The Lasso as an ???1-ball model selection procedure, Electronic Journal of Statistics, vol.5, issue.0, pp.669-687, 2011.
DOI : 10.1214/11-EJS623
URL : https://hal.archives-ouvertes.fr/hal-00945519

G. Mclachlan and D. Peel, Finite Mixture Models Wiley series in probability and statistics: Applied probability and statistics, 2004.

C. Meynet, -oracle inequality for the Lasso in finite mixture Gaussian regression models, ESAIM: Probability and Statistics, vol.17, pp.650-671, 2013.
DOI : 10.1051/ps/2012016
URL : https://hal.archives-ouvertes.fr/hal-01128135

P. Rigollet and A. Tsybakov, Exponential screening and optimal rates of sparse estimation. The Annals of Statistics, pp.731-771, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00606059

N. Städler, P. Bühlmann, and S. Van-de-geer, ???1-penalization for mixture regression models, TEST, vol.101, issue.2, pp.209-256, 2010.
DOI : 10.1007/s11749-010-0197-z

N. Städler, P. Bühlmann, S. Van-de-geer, and R. , ???1-penalization for mixture regression models, TEST, vol.101, issue.2, pp.209-256, 2010.
DOI : 10.1007/s11749-010-0197-z

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B, vol.58, issue.1, pp.267-288, 1996.

S. Van-de-geer and P. Bühlmann, On the conditions used to prove oracle results for the Lasso, Electronic Journal of Statistics, vol.3, issue.0, pp.1360-1392, 2009.
DOI : 10.1214/09-EJS506

S. Van-de-geer, P. Bühlmann, and S. Zhou, The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso), Electronic Journal of Statistics, vol.5, issue.0, pp.688-749, 2011.
DOI : 10.1214/11-EJS624

A. Van, D. Vaart, and J. Wellner, Weak Convergence and Empirical Processes: With Applications to Statistics, 1996.

V. Vapnik, Estimation of Dependences Based on Empirical Data, 1982.