| Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases F Navarro, A Saumard ESAIM: Probability and Statistics 21, 412-451, 2017 | 21 | 2017 |
| Data-driven thresholding in denoising with spectral graph wavelet transform B De Loynes, F Navarro, B Olivier Journal of Computational and Applied Mathematics 389, 113319, 2021 | 14 | 2021 |
| Fast nonparametric estimation for convolutions of densities C Chesneau, F Comte, F Navarro Canadian Journal of Statistics 41 (4), 617-636, 2013 | 11 | 2013 |
| Nonparametric estimation in a regression model with additive and multiplicative noise C Chesneau, S El Kolei, J Kou, F Navarro Journal of Computational and Applied Mathematics 380, 112971, 2020 | 10 | 2020 |
| Localized Fourier analysis for graph signal processing B de Loynes, F Navarro, B Olivier Applied and Computational Harmonic Analysis 57, 1-26, 2022 | 9 | 2022 |
| Finite sample improvement of Akaike’s information criterion A Saumard, F Navarro IEEE Transactions on Information Theory 67 (10), 6328-6343, 2021 | 9 | 2021 |
| Mixture of hidden Markov models for accelerometer data M Du Roy de Chaumaray, M Marbac, F Navarro Annals of Applied Statistics 14 (4), 1834-1855, 2020 | 9 | 2020 |
| Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model F Navarro, C Chesneau, J Fadili, T Sassi Electronic Journal of Statistics 7, 428-453, 2013 | 8 | 2013 |
| R package rwavelet: Wavelet analysis F Navarro, C Chesneau Version 0.4 1, 2020 | 7 | 2020 |
| On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator C Chesneau, F Navarro Communications in Statistics-Theory and Methods 46 (11), 5643-5655, 2017 | 7 | 2017 |
| On adaptive wavelet estimation of a class of weighted densities F Navarro, C Chesneau, J Fadili Communications in Statistics-Simulation and Computation 44 (8), 2137-2150, 2015 | 7 | 2015 |
| Linear wavelet estimation of the derivatives of a regression function based on biased data YP Chaubey, C Chesneau, F Navarro Communications in Statistics-Theory and Methods 46 (19), 9541-9556, 2017 | 6 | 2017 |
| On a plug-in wavelet estimator for convolutions of densities C Chesneau, F Navarro Journal of Statistical Theory and Practice 8, 653-673, 2014 | 6 | 2014 |
| A note on the adaptive estimation of a quadratic functional from dependent observations C Chesneau, M Kachour, F Navarro | 5 | 2013 |
| Linear wavelet estimation in regression with additive and multiplicative noise C Chesneau, J Kou, F Navarro Conference of the International Society for Non-Parametric Statistics, 135-144, 2020 | 4 | 2020 |
| On some applicable approximations of Gaussian type integrals C Chesneau, F Navarro Journal of Mathematical Modeling 7 (2), 2019 | 4 | 2019 |
| A note on the adaptive estimation of the differential entropy by wavelet methods C Chesneau | 4 | 2015 |
| Adaptive parameter selection for block wavelet-thresholding deconvolution F Navarro, MJ Fadili, C Chesneau IFAC Proceedings Volumes 46 (11), 495-499, 2013 | 4 | 2013 |
| Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors A Cheam, M Fredette, M Marbac, F Navarro Journal of the Royal Statistical Society Series C: Applied Statistics 72 (2 …, 2023 | 3 | 2023 |
| Gasper: Graph signal processing in r B de Loynes, F Navarro, B Olivier arXiv preprint arXiv:2007.10642, 2020 | 3 | 2020 |
Christophe ChesneauUniversité de Caen-Normandie在 unicaen.fr 的电子邮件经过验证
