M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 1964.

D. Belomestny, F. Comte, and V. Genon-catalot, Nonparametric Laguerre estimation in the multiplicative censoring model, Electronic Journal of Statistics, vol.10, issue.2, pp.3114-3152, 2016.
DOI : 10.1214/16-EJS1203

URL : https://hal.archives-ouvertes.fr/hal-01252143

L. Birgé, An alternative point of view on Lepski's method, State of the art in probability and statistics: Festschrift for Willem R. van Zwet IMS Lecture Notes- Monograph Series, pp.113-133, 1999.
DOI : 10.1214/lnms/1215090065

L. Birgé and P. Massart, From Model Selection to Adaptive Estimation, pp.55-87, 1997.
DOI : 10.1007/978-1-4612-1880-7_4

B. Bongioanni and J. L. Torrea, What is a Sobolev space for the Laguerre function systems?, Studia Mathematica, vol.192, issue.2, pp.147-172, 2009.
DOI : 10.4064/sm192-2-4

C. Butucea, Deconvolution of supersmooth densities with smooth noise, Canadian Journal of Statistics, vol.330, issue.2, pp.181-192, 2004.
DOI : 10.2307/3315941

URL : https://hal.archives-ouvertes.fr/hal-00103058

C. Butucea and A. Tsybakov, Sharp optimality in density deconvolution with dominating bias I. Theory Proba, Appl, vol.52, issue.1, pp.24-39, 2008.
DOI : 10.1137/s0040585x97982840

C. Butucea and A. Tsybakov, Sharp optimality in density deconvolution with dominating bias II. Theory Proba, Appl, vol.52, issue.2, pp.237-249, 2008.

R. J. Carroll and P. Hall, Optimal Rates of Convergence for Deconvolving a Density, Journal of the American Statistical Association, vol.74, issue.404, pp.1184-1186, 1988.
DOI : 10.1080/01621459.1988.10478718

R. Y. Chen, A. Gittens, and J. A. Tropp, The masked sample covariance estimator: an analysis using matrix concentration inequalities, Information and Inference, vol.1, issue.1, pp.2-20, 2012.
DOI : 10.1093/imaiai/ias001

URL : http://imaiai.oxfordjournals.org/cgi/content/short/1/1/2

F. Comte, C. Cuenod, M. Pensky, R. , and Y. , Laplace deconvolution and its application to dynamic contrast enhanced imaging, J. R. Stat. Soc, 2015.
DOI : 10.1111/rssb.12159

URL : https://hal.archives-ouvertes.fr/hal-00715943

F. Comte and V. Genon-catalot, Adaptive Laguerre density estimation for mixed Poisson models, Electronic Journal of Statistics, vol.9, issue.1, pp.1112-1148, 2015.
DOI : 10.1214/15-EJS1028

URL : https://hal.archives-ouvertes.fr/hal-00848158

F. Comte and C. Lacour, Data-driven density estimation in the presence of additive noise with unknown distribution, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.18, issue.4, pp.601-627, 2011.
DOI : 10.1111/j.1467-9868.2011.00775.x

F. Comte, Y. Rozenholc, and M. Taupin, Penalized contrast estimator for adaptive density deconvolution, Canadian Journal of Statistics, vol.18, issue.3, pp.431-452, 2006.
DOI : 10.1002/cjs.5550340305

URL : https://hal.archives-ouvertes.fr/hal-00016489

I. Dattner, M. Reiß, and M. Trabs, Adaptive quantile estimation in deconvolution with unknown error distribution, Bernoulli, vol.22, issue.1, pp.143-192, 2016.
DOI : 10.3150/14-BEJ626

A. Delaigle and I. Gijbels, Bootstrap bandwidth selection in kernel density estimation from a contaminated sample, Annals of the Institute of Statistical Mathematics, vol.52, issue.1, pp.19-47, 2004.
DOI : 10.1007/BF02530523

S. Efromovich, Density Estimation for the Case of Supersmooth Measurement Error, Journal of the American Statistical Association, vol.23, issue.438, pp.526-535, 1997.
DOI : 10.1080/01621459.1997.10474005

J. Fan, On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems, The Annals of Statistics, vol.19, issue.3, pp.1257-1272, 1991.
DOI : 10.1214/aos/1176348248

P. Groeneboom and G. Jongbloed, Density estimation in the uniform deconvolution model, Statistica Neerlandica, vol.6, issue.1, pp.136-157, 2003.
DOI : 10.1198/106186001317243395

P. Groeneboom and J. A. Wellner, Information bounds and nonparametric maximum likelihood estimation, volume 19 of DMV Seminar, 1992.

R. Horn and C. Johnson, Matrix Analysis, 1990.

M. Jirak, A. Meister, and M. Reiß, Adaptive function estimation in nonparametric regression with one-sided errors, The Annals of Statistics, vol.42, issue.5, pp.1970-2002, 2014.
DOI : 10.1214/14-AOS1248SUPP

J. Johannes, Deconvolution with unknown error distribution, The Annals of Statistics, vol.37, issue.5A, pp.2301-2323, 2009.
DOI : 10.1214/08-AOS652

URL : http://arxiv.org/abs/0705.3482

J. Johannes and M. Schwarz, Adaptive circular deconvolution by model selection under unknown error distribution, Bernoulli, vol.19, issue.5A, pp.1576-1611, 2013.
DOI : 10.3150/12-BEJ422

URL : http://arxiv.org/abs/0912.1207

J. Kappus and G. Mabon, Adaptive density estimation in deconvolution problems with unknown error distribution, Electronic Journal of Statistics, vol.8, issue.2, pp.2879-2904, 2014.
DOI : 10.1214/14-EJS976

URL : https://hal.archives-ouvertes.fr/hal-00915982

G. Mabon, Adaptive deconvolution of linear functionals on the nonnegative real line, Journal of Statistical Planning and Inference, vol.178, pp.1-23, 2016.
DOI : 10.1016/j.jspi.2016.04.006

URL : https://hal.archives-ouvertes.fr/hal-01195711

G. Mabon, Adaptive deconvolution on the nonnegative real line, pp.5-2014, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01076927

P. Massart, Concentration Inequalities and Model selection, Lectures from the 33rd Summer School on Probability Theory held in Saint-Flour, 2003.

A. Meister, Deconvolution Problems in Nonparametric Statistics, volume 193 of Lecture Notes in Statistics, 2009.

M. H. Neumann, On the effect of estimating the error density in nonparametric deconvolution, Journal of Nonparametric Statistics, vol.46, issue.4, pp.307-330, 1997.
DOI : 10.1214/aos/1176348768

M. Pensky and B. Vidakovic, Adaptive wavelet estimator for nonparametric density deconvolution, Ann. Statist, vol.27, issue.6, pp.2033-2053, 1999.

M. Reiß and L. Selk, Estimating nonparametric functionals efficiently under one-sided errors, 2015.

L. Stefanski, Rates of convergence of some estimators in a class of deconvolution problems, Statistics & Probability Letters, vol.9, issue.3, pp.229-235, 1990.
DOI : 10.1016/0167-7152(90)90061-B

S. Stefanski and R. Carroll, Deconvolving kernel density estimators, Statistics, vol.48, issue.2, pp.169-184, 1990.
DOI : 10.1109/TIT.1977.1055802