| Generalized Birnbaum–Saunders kernel density estimators and an analysis of financial data C Marchant, K Bertin, V Leiva, H Saulo Computational Statistics & Data Analysis 63, 1-15, 2013 | 87 | 2013 |
| Selection of variables and dimension reduction in high-dimensional non-parametric regression K Bertin, G Lecué | 59 | 2008 |
| Adaptive Dantzig density estimation K Bertin, E Le Pennec, V Rivoirard Annales de l'IHP Probabilités et statistiques 47 (1), 43-74, 2011 | 54 | 2011 |
| Drift parameter estimation in fractional diffusions driven by perturbed random walks K Bertin, S Torres, CA Tudor Statistics & probability letters 81 (2), 243-249, 2011 | 47 | 2011 |
| Adaptive pointwise estimation of conditional density function K Bertin, C Lacour, V Rivoirard | 40 | 2016 |
| Maximum-likelihood estimators and random walks in long memory models K Bertin, S Torres, CA Tudor Statistics 45 (4), 361-374, 2011 | 34 | 2011 |
| AutoRegressive planet search: methodology GA Caceres, ED Feigelson, GJ Babu, N Bahamonde, A Christen, K Bertin, ... The Astronomical Journal 158 (2), 57, 2019 | 25 | 2019 |
| Asymptotically exact minimax estimation in sup-norm for anisotropic Hölder classes K Bertin Bernoulli 10 (5), 873-888, 2004 | 25 | 2004 |
| Minimax properties of beta kernel estimators K Bertin, N Klutchnikoff Journal of statistical planning and inference 141 (7), 2287-2297, 2011 | 24 | 2011 |
| Autoregressive planet search: application to the kepler mission GA Caceres, ED Feigelson, GJ Babu, N Bahamonde, A Christen, K Bertin, ... The Astronomical Journal 158 (2), 58, 2019 | 23 | 2019 |
| Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation A Arribas-Gil, K Bertin, C Meza, V Rivoirard Statistics and Computing 24, 443-460, 2014 | 21 | 2014 |
| Asymptotic normality of the Nadaraya–Watson estimator for nonstationary functional data and applications to telecommunications L Aspirot, K Bertin, G Perera Journal of Nonparametric Statistics 21 (5), 535-551, 2009 | 17 | 2009 |
| Minimax exact constant in sup-norm for nonparametric regression with random design K Bertin Journal of statistical planning and inference 123 (2), 225-242, 2004 | 16 | 2004 |
| High-dimensional VAR with low-rank transition P Alquier, K Bertin, P Doukhan, R Garnier Statistics and Computing 30 (4), 1139-1153, 2020 | 12 | 2020 |
| Adaptive estimation of a density function using beta kernels K Bertin, N Klutchnikoff ESAIM: Probability and Statistics 18, 400-417, 2014 | 11 | 2014 |
| Semi-parametric segmentation of multiple series using a DP-Lasso strategy K Bertin, X Collilieux, E Lebarbier, C Meza Journal of Statistical Computation and Simulation 87 (6), 1255-1268, 2017 | 9 | 2017 |
| Maxiset in sup-norm for kernel estimators K Bertin, V Rivoirard Test 18, 475-496, 2009 | 8 | 2009 |
| Sharp adaptive estimation in sup-norm for d-dimensional Hölder classes K Bertin Rn (fn) 1, 3, 2005 | 8 | 2005 |
| Estimation asymptotiquement exacte en norme sup de fonctions multidimensionnelles K Bertin Université Pierre et Marie Curie-Paris VI, 2004 | 8 | 2004 |
| Adaptive density estimation on bounded domains K Bertin, S El Kolei, N Klutchnikoff | 5 | 2019 |
cristian mezaBestätigte E-Mail-Adresse bei uv.cl
