o Chesneau, C. (2007). A maxiset approach of a Gaussian noise model, TEST, 16, 3, 523-546. 

o Chesneau, C. (2007). Regression with random design: a minimax study, Statistics and Probability Letters, 77, 1, 40-53. 

o Chesneau, C. (2008). On the maxiset comparison between hard and block thresholding methods, Statistics and Probability Letters, 78, 6, 675-681. 

o Chesneau, C. (2008). Wavelet estimation via block thresholding : a minimax study under $\mathbb{L^p$ risk, Statistica Sinica, 18, 3, 1007-1024. 

o Chesneau, C. and Hebiri. M. (2008). Some theoretical results on the grouped variables Lasso, Mathematical Methods of Statistics, 17, 4, 317-326.

o Chesneau, C. (2009). A tail bound for sums of independent random variables : application to the symmetric Pareto distribution, Applied Mathematics E-Notes, 9, 300-306. 

o Chesneau, C. (2009). Block thresholding for a density estimation problem with a change-point, Asian European Journal of Mathematics, 2, 4, 545-555.

o Chesneau, C. and Lecué, G. (2009). Adapting to unknown smoothness by aggregation of thresholded wavelet estimators, Statistica Sinica, special issue 

"Multiscale Methods and Statistics: a productive Marriage", 19, 1407-1417.

o Chesneau, C. (2010). Wavelet estimation of the derivatives of an unknown function from a convolution model, Current Development in Theory and Applications of Wavelets, 4, 2, 131-151.

o Chesneau, C., Fadili, J. and Starck, J.-L. (2010). Stein block thresholding for image denoising, Applied and Computational Harmonic Analysis, 28, 1, 67-88.

o Chesneau, C., Fadili, J. and Starck, J.-L. (2010). Stein block thresholding for wavelet-based image deconvolution, Electronic Journal of Statistics, 4, 415-435.

o Chesneau, C. (2010). Wavelet block thresholding for density estimation in the presence of bias, Journal of the Korean Statistical Society, 39, 1, 43-53.

o Chesneau, C. (2010). On adaptive wavelet estimation of the regression function and its derivatives in an errors-in-variables model, Current Development in Theory and Applications of Wavelets, 4, 2, 185-208.

o Chesneau, C. (2011). On adaptive wavelet estimation of a quadratic functional from a deconvolution problem, Annals of the Institute of Statistical Mathematics, 63, 2, 405-429.

o Chesneau, C. (2011). Adaptive wavelet estimation of a biased density for strongly mixing sequences, International Journal of Mathematics and Mathematical Sciences, Volume 2011, Article ID 604150, 21 pages.

o Chesneau, C. (2011). Adaptive wavelet estimator for a function and its derivatives in an indirect convolution model, Journal of Statistical Theory and Practice, 5, 2, 303-326.

o Bulla, J., Mergner, S., Bulla, I., Sesbo\"ué, A. and o Chesneau, C. (2011). Markov-switching asset allocation: do profitable strategies exist ?, Journal of Asset Management, 12, 310-321.

o Chaubey, Y.P., Chesneau, C. and Doosti, H. (2011). On linear wavelet density estimation: some recent developments, Journal of the Indian Society of Agricultural Statistics, 65, (2), 169-179.

o Chesneau, C. (2011). A note on the wavelet deconvolution of a density from mixtures under quadrant dependence, Current Development in Theory and Applications of Wavelets, 5,1, 51-64.

o Chesneau, C. (2011). Wavelet density estimators for the deconvolution of a component from a mixture, Sankhya: The Indian Journal of Statistics, 73-A, 2, 245-266.

o Chesneau, C. and Fadili, J. (2012). Adaptive wavelet estimation of a function in an indirect regression model, AStA Advances in Statistical Analysis, 96, 1, 25-46.

o Chesneau, C. (2012). Adaptive wavelet regression in random design and general errors with weakly dependent data, Acta Universitatis Apulensis, 29, 65-84.

o Chesneau, C. and Doosti, H. (2012). Wavelet linear density estimation for a GARCH model under various dependence structures, Journal of the Iranian Statistical Society, 11, 1, 1-21.

o Abbaszadeh, M., Chesneau, C. and Doosti, H. (2012). Nonparametric estimation of a density under bias and multiplicative censoring via wavelet methods, Statistics and Probability Letters, 82, 932-941. 

o Mallet, A., Guéguen, M., Kauffmann, F., Chesneau, C., Sesbo\"ué, A. and Desmasures, N. (2012). Quantitative and qualitative microbial analysis of raw milk reveals substantial 

diversity influenced by herd management practices, International Dairy Journal, 27, 1-2, December 2012, 13-21.

o Chesneau, C., Dewan, I. and Doosti, H. (2012). Wavelet linear density estimation for associated stratified size-biased sample, Journal of Nonparametric Statistics, 24, 2, 429-445.

o Chesneau, C. (2012). Wavelet linear estimation of a density and its derivatives from observations of mixtures under quadrant dependence, ProbStat Forum, 5, 38-46.

o Chesneau, C. and Hosseinioun, N. (2012). On the wavelet estimation of a function in a density model with non-identically distributed observations, Chilean Journal of Statistics, 3,1, 31-42.

o Chesneau, C. (2012). On the adaptive wavelet deconvolution of a density for strong mixing sequences, Journal of the Korean Statistical Society, 41, 423-436.

o Chesneau, C. and Kachour, M. (2012). A parametric study for the first-order signed integer-valued autoregressive process, Journal of Statistical Theory and Practice, 6, 4, 760-782.

o Chesneau, C. (2013). Wavelet estimation of a density in a GARCH-type model, Communications in Statistics: Theory and Methods, 42, 1, 98-117.

o Chesneau, C., Kachour, M. and Navarro, F. (2013). A note on the adaptive estimation of a quadratic functional from dependent observations, IStatistik: Journal of the Turkish Statistical Association, 6, 1, 10 - 26.

o Navarro, F., Chesneau, C., Fadili, J. and Sassi, T. (2013). Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model, 

Electronic Journal of Statistics, 7, 0, 428-453. 

o Chaubey, Y.P., Chesneau, C. and Shirazi, E. (2013). Wavelet-based estimation of regression function for dependent biased data under a given random design, Journal of Nonparametric Statistics, 25, 1, 53-71.

o Dossal, C., Kachour, M., Fadili, J., Peyré, G. and o Chesneau, C. (2013). The degrees of freedom of the Lasso for general design matrix, Statistica Sinica, 23, 2, 809-828. 

o Chesneau, C. (2013). On the adaptive wavelet estimation of a multidimensional regression function under $\alpha$-mixing dependence: Beyond the standard assumptions on the noise, 

Commentationes Mathematicae Universitatis Carolinae, 4, 527-556.

o Chesneau, C. and Fadili, J. (2013). Wavelet-based density estimation in a heteroscedastic convolution model, Communications in Statistics: Theory and Methods, 42, 17, 3085-3099.

o Chesneau, C., Kachour, M. and Maillot, B. (2013). Nonparametric estimation for functional data by wavelet thresholding, REVSTAT - Statistical Journal, 11, 2, 211-230.

o Chesneau, C., Comte, F. and Navarro, F. (2013). Fast nonparametric estimation for convolutions of densities, The Canadian Journal of Statistics, 41, 4, 617-636.

o Abbaszadeh, M., Chesneau, C. and Doosti, H. (2013). Multiplicative censoring: estimation of a density and its derivatives under the $L_p$-risk, REVSTAT - Statistical Journal, 11, 3, 255-276.

o Chesneau, C., Dewan, I. and Doosti, H. (2014). Nonparametric estimation of a two dimensional continuous-discrete density function by wavelets, Statistical Methodology, 18, 64-78.

o Chesneau, C., Kachour, M. and Navarro, F. (2014). On the estimation of density-weighted average derivative by wavelet methods under various dependence structures, 

Sankhya: The Indian Journal of Statistics, 76-A, 1, 48-76.

 o Chesneau, C., Kachour, M. and Navarro, F. (2014). Average derivative estimation from biased data, ISRN Probability and Statistics, Volume 2014, Article ID 864530, 7 pages.

o Chesneau, C. (2014). A note on the adaptive estimation of a multiplicative separable regression function, ISRN Applied Mathematics, Volume 2014, Article ID 271303, 7 pages.

o Chesneau, C. (2014). A general result on the mean integrated squared error of the hard thresholding wavelet estimator under $\alpha$-mixing dependence, Journal of Probability and Statistics, 

Volume 2014, Article ID 403764, 12 pages.

o Chesneau, C. (2014). A note on wavelet estimation of the derivatives of a regression function in a random design setting, International Journal of Mathematics and Mathematical Sciences, 

Volume 2014, Article ID 195765, 8 pages.

o Bulla, I., Schultz, A.K., Chesneau, C., Mark, T. and Serea, F. (2014). A model-based information sharing protocol for profile hidden Markov models used for HIV-1 recombination detection, 

BMC Bioinformatics, 15, 205, (19 June 2014).

o Chesneau, C. and Navarro, F. (2014). On a plug-in wavelet estimator for convolutions of densities, Journal of Statistical Theory and Practice, 4, 653-673. 

o Chesneau, C. and Shirazi, E. (2014). Nonparametric wavelet regression based on biased data, Communications in Statistics: Theory and Methods, 43, 13, 2642-2658.

o Chesneau, C. and Maillot, B. (2014). Super-optimal rate of convergence in non-parametric estimation for functional valued processes, ISRN Applied Mathematics, volume 2014, Article ID 264217, 9 pages.

o Chesneau, C., Fadili, J. and Maillot, B. (2015). Adaptive estimation of an additive regression function from weakly dependent data, Journal of Multivariate Analysis, 133, 1, 77-94.

o Chesneau, C. and Kachour, M. (2015). Estimation of the derivatives of a function in a convolution regression model with random design, Advances in Statistics, Volume 2015, Article ID 695904, 11 pages. 

o Navarro, F., Chesneau, C. and Fadili, J. (2015). On adaptive wavelet estimation of a class of weighted densities, Communications in Statistics: Simulation and Computation, 44, 8, 2137-2150.

o Bulla, I., Chesneau, C., Navarro, F. and Mark, T. (2015). A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density, Statistics and Probability Letters, 105, 6-13.

o Chesneau, C. and Willer, T. (2015). Estimation of a cumulative distribution function under interval censoring ''case 1'' via warped wavelets, Communications in Statistics: Theory and Methods, 44, 17, 3680-3702.

o Chesneau, C., Comte, F., Mabon, G. and Navarro, F. (2015). Estimation of convolution in the model with noise, Journal of Nonparametric Statistics, 27, 3, 286-315. 

o Chesneau, C., Kachour, M. and Karlis, D. (2015). On some distributions arising from a generalized trivariate reduction scheme, Statistical Methodology, 25, 36-50.

o Bulla, J., Chesneau, C. and Kachour, M. (2015). On the bivariate Skellam distribution, Communications in Statistics: Theory and Methods, 44, 21, 4552-4567.

o Chaubey, Y.P., Chesneau, C. and Doosti, H. (2015). Adaptive wavelet estimation of a density from mixtures under multiplicative censoring, Statistics, 49, 3, 638-659. 

o Chesneau, C., Dewan, I. and Doosti, H. (2016). Nonparametric estimation of a quantile density function by wavelet methods, Computational Statistics and Data Analysis, 94, 161-174. 

o Chesneau, C. and Doosti, H. (2016). A note on the adaptive estimation of a conditional continuous-discrete multivariate density by wavelet methods, Chinese Journal of Mathematics, 

Volume 2016 (2016), Article ID 6204874, 8 pages. 

o Chesneau, C. and Navarro, F. (2017). On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator, Communications in Statistics: Theory and Methods, 46, 11, 5643-5655. 

o Chesneau, C. and Kachour, M. (2017). A new parametric mixture class of distributions on $\mathbb{Z$, ProbStat Forum, 10, 01-15. 

o Chesneau, C., Dewan, I. and Doosti, H. (2017). On A Deconvolution Problem Under Competing Risks, Statistics, 51, 2, 331-346.

o Bulla, J., Chesneau, C. and Kachour, M. (2017). A bivariate first-order signed integer-valued autoregressive process, Communications in Statistics: Theory and Methods, 46, 13, 6590-6604.

o Chesneau, C., Navarro, F. and Serea, O. (2017). A note on the adaptive estimation of the differential entropy by wavelet methods, Commentationes Mathematicae Universitatis Carolinae, 58,1, 87-100. 

o Dupuy, E., Leconte, P., Vlamynck, E., Sultan, A., Chesneau, C. Denise, P., Besnard, S., Bienvenu, B. and Decker, L. (2017).

Ehlers-Danlos Syndrome, hypermobility type: impact of somatosensory orthoses on postural control (a pilot study), Frontiers in Human Neuroscience, 11, 283. 

o Bazzazzadeh, V., Doosti, H., Boskabadi, H., Saffari, S.E., Peyman, N. and o Chesneau, C. (2017). Modeling the Infant's Age at Hospital Admission in Neonatal with Jaundice at the 

Ghaem Mashhad Hospital Using Count Models with Excess Zeros, Biostatistics and Biometrics Open Access Journal, 3, 4, October 2017, doi: 10.19080/BBOAJ.2017.03.555620. 

o Aury-Landas, J., Bazille, C., Allas, L., Bouhout, S., Chesneau, C., Leclercq, S., Boumediene, K. and Baugé, C. (2017). Anti-inflammatory and chondroprotective effects of the 

S-adenosylhomocysteine hydrolase inhibitor 3-Deazaneplanocin A, in human articular chondrocytes, Scientific Reports, 7, 1, 6483. doi: 10.1038/s41598-017-06913-6. 

o Chaubey, Y.P., Chesneau, C. and Navarro, F. (2017). Linear wavelet estimation of the derivatives of a regression function based on

biased data, Communications in Statistics: Theory and Methods, 46, 19, 9541-9556.

o Bakouch, H., Chesneau, C. and Leao, J. (2018). A new lifetime model with a periodic hazard rate and an application, Journal of Statistical Computation and Simulation, 88, 11, 2048-2065. 

o Chesneau, C., Kachour M. and Bakouch, H. (2018). A family of bivariate discrete distributions on $\mathbb{Z^2$ based on the Rademacher distribution, ProbStat forum, 11, 53-66. 

o Chesneau, C., Hussain, T. and Bakouch, H. (2018). A new cumulative distribution function based on $m$ existing ones, U. P. B. Scientific Bulletin Series A, 80, 3, 75-82. 

o Chesneau, C. (2018). Some tight polynomial-exponential lower bounds for an exponential function, Jordan Journal of Mathematics and Statistics, 11, 3, 273-294. 

o Chesneau. C. (2018). A new family of distributions based on the hypoexponential distribution  with fitting reliability data, Statistica, 78, 2, 127-147.