| Detection of a sparse submatrix of a high-dimensional noisy matrix C Butucea, YI Ingster | 138 | 2013 |
| Sharp optimality in density deconvolution with dominating bias. I C Butucea, AB Tsybakov Theory of Probability & Its Applications 52 (1), 24-39, 2008 | 94 | 2008 |
| Deconvolution of supersmooth densities with smooth noise C Butucea Canadian Journal of Statistics 32 (2), 181-192, 2004 | 92 | 2004 |
| Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model C Butucea, C Matias Bernoulli 11 (2), 309-340, 2005 | 86 | 2005 |
| Goodness-of-fit testing and quadratic functional estimation from indirect observations C Butucea | 74 | 2007 |
| Adaptive estimation of linear functionals in the convolution model and applications C Butucea, F Comte | 63 | 2009 |
| Variable selection with Hamming loss C Butucea, M Ndaoud, NA Stepanova, AB Tsybakov | 60 | 2018 |
| Sharp optimality in density deconvolution with dominating bias. I C Butucea, A Tsybakov Теория вероятностей и ее применения 52 (1), 111-128, 2007 | 58 | 2007 |
| Minimax and adaptive estimation of the Wigner function in quantum homodyne tomography with noisy data C Butucea, M Guţă, L Artiles | 54 | 2007 |
| Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids C Butucea, A Dubois, M Kroll, A Saumard | 50 | 2020 |
| Nonparametric homogeneity tests C Butucea, K Tribouley Journal of statistical planning and inference 136 (3), 597-639, 2006 | 50 | 2006 |
| Exact adaptive pointwise estimation on Sobolev classes of densities C Butucea ESAIM: Probability and Statistics 5, 1-31, 2001 | 43 | 2001 |
| Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms T Berrett, C Butucea Advances in Neural Information Processing Systems 33, 3164-3173, 2020 | 42 | 2020 |
| Semiparametric mixtures of symmetric distributions C Butucea, P Vandekerkhove Scandinavian Journal of Statistics 41 (1), 227-239, 2014 | 41 | 2014 |
| Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix C Butucea, YI Ingster, IA Suslina ESAIM: Probability and Statistics 19, 115-134, 2015 | 36 | 2015 |
| Adaptivity in convolution models with partially known noise distribution C Butucea, C Matias, C Pouet | 30 | 2008 |
| Rank-penalized estimation of a quantum system P Alquier, C Butucea, M Hebiri, K Meziani, T Morimae Physical Review A—Atomic, Molecular, and Optical Physics 88 (3), 032113, 2013 | 27 | 2013 |
| Sharp optimality in density deconvolution with dominating bias. II C Butucea, A Tsybakov Теория вероятностей и ее применения 52 (2), 336-349, 2007 | 25 | 2007 |
| Adaptive goodness-of-fit testing from indirect observations C Butucea, C Matias, C Pouet Annales de l'IHP Probabilités et statistiques 45 (2), 352-372, 2009 | 24 | 2009 |
| State estimation in quantum homodyne tomography with noisy data JM Aubry, C Butucea, K Meziani Inverse Problems 25 (1), 015003, 2008 | 24 | 2008 |
Catherine MatiasCNRS, Université Pierre et Marie Curie, COSTNET CA15109在 math.cnrs.fr 的电子邮件经过验证
