| Adaptive estimation in the functional nonparametric regression model G Chagny, A Roche Journal of Multivariate Analysis 146, 105-118, 2016 | 39 | 2016 |
| Non-asymptotic adaptive prediction in functional linear models É Brunel, A Mas, A Roche Journal of Multivariate Analysis 143, 208-232, 2016 | 26 | 2016 |
| Adaptive and minimax estimation of the cumulative distribution function given a functional covariate G Chagny, A Roche | 16 | 2014 |
| Penalized contrast estimation in functional linear models with circular data E Brunel, A Roche Statistics 49 (6), 1298-1321, 2015 | 11 | 2015 |
| Variable selection and estimation in multivariate functional linear regression via the lasso A Roche arXiv preprint arXiv:1903.12414, 2019 | 6 | 2019 |
| Response surface methodology for functional data with application to nuclear safety A Roche URL: https://hal. archives-ouvertes. fr/hal-01144628v2, 2015 | 6 | 2015 |
| Local bandwidth selection for kernel density estimation in a bifurcating Markov chain model SV Bitseki Penda, A Roche Journal of Nonparametric Statistics 32 (3), 535-562, 2020 | 5 | 2020 |
| Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety A Roche Computational Statistics 33 (1), 467-485, 2018 | 4 | 2018 |
| Statistical modeling for functional data: non-asymptotic approaches and adaptive methods A Roche HAL 2014, 2014 | 3 | 2014 |
| Minimax estimation of functional principal components from noisy discretized functional data R Belhakem, F Picard, V Rivoirard, A Roche Scandinavian Journal of Statistics, 2024 | 2 | 2024 |
| Lasso in infinite dimension: application to variable selection in functional multivariate linear regression A Roche Electronic Journal of Statistics 17 (2), 3357-3405, 2023 | 2 | 2023 |
| Adaptive estimation of the hazard rate with multiplicative censoring G Chagny, F Comte, A Roche Journal of Statistical Planning and Inference 184, 25-47, 2017 | 2 | 2017 |
| Adaptive nonparametric estimation in the functional linear model with functional output G Chagny, A Meynaoui, A Roche | 1 | 2022 |
| Adaptive nonparametric estimation of a component density in a two-class mixture model G Chagny, A Channarond, A Roche Journal of Statistical Planning and Inference 216, 51-69, 2022 | 1 | 2022 |
| Modélisation statistique pour données fonctionnelles: approches non-asymptotiques et méthodes adaptatives A Roche Université Montpellier II, 2014 | 1 | 2014 |
| Explorations fonctionnelles respiratoires de l’asthme de l’enfant M Chaussain, C Peiffer, A Roche, C Lebeau, JL Iniguez Archives de pédiatrie 5, 135s-138s, 1998 | 1 | 1998 |
| PCA for Point Processes F Picard, V Rivoirard, A Roche, V Panaretos arXiv preprint arXiv:2404.19661, 2024 | | 2024 |
| Minimax estimation of the mean and principal components of discretized functional data: some thoughts and perspectives in smoothing A Roche | | 2022 |
| New perspectives in smoothing: minimax estimation of the mean and principal components of discretized functional data. A Roche The Graduate Journal of Mathematics 7 (2), 95-107, 2022 | | 2022 |
| Adaptive nonparametric estimation of a component density in a two-class mixture model GC van Ha Hoang, A Channarond, A Roche | | 2021 |
