B. Buchmann and R. Grübel, Decompounding: an estimation problem for Poisson random sums. The Annals of Statistics, pp.1054-1074, 2003.

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. B. Tsybakov, Sharp optimality in density deconvolution with dominating bias. I. Theory Probab, Appl, vol.52, pp.24-39, 2008.

C. Butucea and A. B. Tsybakov, Sharp optimality in density deconvolution with dominating bias. II. Theory Probab, Appl, vol.52, 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

F. Comte and V. Genon-catalot, Nonparametric adaptive estimation for pure jump L??vy processes, Annales de l'Institut Henri Poincaré Probabilités et Statistiques, pp.595-617, 2010.
DOI : 10.1214/09-AIHP323

F. Comte, C. Duval, V. Genon-catalot, and J. Kappus, Estimation of the Jump Size Density in a Mixed Compound Poisson Process, Scandinavian Journal of Statistics, vol.23, issue.4, pp.1023-1044, 2015.
DOI : 10.1111/sjos.12149
URL : https://hal.archives-ouvertes.fr/hal-00995037

F. Comte and J. Kappus, Density deconvolution from repeated measurements without symmetry assumption on the errors, Journal of Multivariate Analysis, vol.140, pp.21-46, 2015.
DOI : 10.1016/j.jmva.2015.04.004
URL : https://hal.archives-ouvertes.fr/hal-01010409

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, Finite sample penalization in adaptive density deconvolution, Journal of Statistical Computation and Simulation, vol.1, issue.11, pp.11-12977, 2007.
DOI : 10.2307/3316026
URL : https://hal.archives-ouvertes.fr/hal-00016503

A. Delaigle, P. Hall, and A. Meister, On deconvolution with repeated measurements, The Annals of Statistics, vol.36, issue.2, pp.665-685, 2008.
DOI : 10.1214/009053607000000884

A. Delaigle and W. Zhou, Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates, Journal of the American Statistical Association, vol.110, issue.512, 2015.
DOI : 10.1111/j.1541-0420.2010.01464.x

S. Delattre, M. Hoffmann, D. Picard, and T. Vareschi, Blockwise SVD with error in the operator and application to blind deconvolution, Electronic Journal of Statistics, vol.6, issue.0, pp.2274-2308, 2012.
DOI : 10.1214/12-EJS745
URL : https://hal.archives-ouvertes.fr/hal-00779777

C. Duval, When is it no longer possible to estimate a compound Poisson process?, Electronic Journal of Statistics, vol.8, issue.1, pp.274-301, 2014.
DOI : 10.1214/14-EJS885
URL : https://hal.archives-ouvertes.fr/hal-00877195

B. Van-es, S. Gugushvili, and P. Spreij, A kernel type nonparametric density estimator for decompounding, Bernoulli, vol.13, issue.3, pp.672-694, 2007.
DOI : 10.3150/07-BEJ6091

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

J. Johannes, Deconvolution with unknown error distribution. The Annals of Statistics, pp.2301-2323, 2009.

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

J. Kappus, Adaptive nonparametric estimation for Lévy processes observed at low frequancy, Stochastic Processes and their Applications, pp.730-758, 2014.

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

U. Küchler and S. Tappe, On the shapes of bilateral Gamma densities, Statistics & Probability Letters, vol.78, issue.15, pp.2478-2484, 2008.
DOI : 10.1016/j.spl.2008.02.039

C. Lacour, Rates of convergence for nonparametric deconvolution, Comptes Rendus Mathematique, vol.342, issue.11, pp.877-882, 2006.
DOI : 10.1016/j.crma.2006.04.006
URL : https://hal.archives-ouvertes.fr/hal-00115610

O. Linton and Y. Whang, NONPARAMETRIC ESTIMATION WITH AGGREGATED DATA, Econometric Theory, vol.18, issue.02, pp.420-468, 2002.
DOI : 10.1017/S0266466602182089

K. Lounici and R. Nickl, Global uniform risk bounds for wavelet deconvolution estimators, The Annals of Statistics, vol.39, issue.1, pp.201-231, 2011.
DOI : 10.1214/10-AOS836

A. Meister, Optimal convergence rates for density estimation from grouped data, Statistics & Probability Letters, vol.77, issue.11, pp.1091-1097, 2007.
DOI : 10.1016/j.spl.2007.01.013
URL : https://hal.archives-ouvertes.fr/hal-00565445

A. Meister, Deconvolution Problems in Nonparametric Statistics, Lecture Notes in Statistics, vol.193, 2009.
DOI : 10.1007/978-3-540-87557-4

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. Neumann and M. Reiß, Nonparametric estimation for L??vy processes from low-frequency observations, Bernoulli, vol.15, issue.1, pp.223-248, 2009.
DOI : 10.3150/08-BEJ148

M. Pensky and B. Vidakovic, Adaptive wavelet estimator for nonparametric density deconvolution. The Annals of Statistics, pp.2033-2053, 1999.

K. Sato, Lévy processes and infinitely divisible distributions, volume 68 of Cambridge Studies in Advanced Mathematics, 1999.

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

A. B. Tsybakov, Introduction to nonparametric estimation Springer Series in Statistics, 2009.