| On the adaptive estimation of anisotropic functions N Klutchnikoff Ph. D. thesis, Univ. Aix–Marseille I, 2005 | 60* | 2005 |
| Minimax properties of beta kernel estimators K Bertin, N Klutchnikoff Journal of statistical planning and inference 141 (7), 2287-2297, 2011 | 24 | 2011 |
| R pour la statistique et la science des données F Husson, PA Cornillon, A Guyader, N Jégou, J Josse, N Klutchnikoff, ... Presses universitaires de Rennes, 2018 | 22 | 2018 |
| Clustering multivariate functional data using unsupervised binary trees S Golovkine, N Klutchnikoff, V Patilea Computational Statistics & Data Analysis 168, 107376, 2022 | 14 | 2022 |
| Adaptive estimation of a density function using beta kernels K Bertin, N Klutchnikoff ESAIM: Probability and Statistics 18, 400-417, 2014 | 12 | 2014 |
| Learning the smoothness of noisy curves with application to online curve estimation S Golovkine, N Klutchnikoff, V Patilea Electronic Journal of Statistics 16 (1), 1485-1560, 2022 | 9 | 2022 |
| Adaptive density estimation on bounded domains under mixing conditions K Bertin, N Klutchnikoff, JR Léon, C Prieur | 7 | 2020 |
| Adaptive density estimation on bounded domains K Bertin, S El Kolei, N Klutchnikoff | 7 | 2019 |
| Pointwise adaptive estimation of a multivariate function N Klutchnikoff Mathematical Methods of Statistics 23 (2), 132-150, 2014 | 7 | 2014 |
| Illumination problems in digital images. A statistical point of view S Geffray, N Klutchnikoff, M Vimond Journal of Multivariate Analysis 150, 191-213, 2016 | 6 | 2016 |
| Minimax pointwise estimation of an anisotropic regression function with unknown density of the design A Guillou, N Klutchnikoff Mathematical Methods of Statistics 20 (1), 30-57, 2011 | 6 | 2011 |
| Pointwise adaptive estimation of the marginal density of a weakly dependent process K Bertin, N Klutchnikoff Journal of Statistical Planning and Inference 187, 115-129, 2017 | 5 | 2017 |
| On clustering procedures and nonparametric mixture estimation S Auray, N Klutchnikoff, L Rouvière | 5 | 2015 |
| Optimal 1-wasserstein distance for wgans A Stéphanovitch, U Tanielian, B Cadre, N Klutchnikoff, G Biau arXiv preprint arXiv:2201.02824, 2022 | 3 | 2022 |
| Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion K Bertin, N Klutchnikoff, F Panloup, M Varvenne Statistical Inference for Stochastic Processes 23, 271-300, 2020 | 3 | 2020 |
| Minimax regression estimation for Poisson coprocess B Cadre, N Klutchnikoff, G Massiot ESAIM: Probability and Statistics 21, 138-158, 2017 | 3 | 2017 |
| Statistical analysis of a hierarchical clustering algorithm with outliers N Klutchnikoff, A Poterie, L Rouviere Journal of Multivariate Analysis 192, 105075, 2022 | 2 | 2022 |
| Adaptive optimal estimation of irregular mean and covariance functions S Golovkine, N Klutchnikoff, V Patilea | 2 | 2021 |
| A new adaptive local polynomial density estimation procedure on complicated domains K Bertin, N Klutchnikoff, F Ouimet arXiv preprint arXiv:2308.01156, 2023 | 1 | 2023 |
| Adaptive functional principal components analysis SWG Wei, V Patilea, N Klutchnikoff arXiv preprint arXiv:2306.16091, 2023 | 1 | 2023 |
karine bertinUniversidad de ValparaisoVerified email at uv.cl
