| Fully nonseparable Gneiting covariance functions for multivariate space–time data D Allard, L Clarotto, X Emery Spatial Statistics 52, 100706, 2022 | 10 | 2022 |
| A new class of α-transformations for the spatial analysis of compositional data L Clarotto, D Allard, A Menafoglio Spatial Statistics 47, 100570, 2022 | 9 | 2022 |
| The SPDE approach for spatio-temporal datasets with advection and diffusion L Clarotto, D Allard, T Romary, N Desassis Spatial Statistics, 100847, 2024 | 8 | 2024 |
| Discussion on “Competition on Spatial Statistics for Large Datasets” D Allard, L Clarotto, T Opitz, T Romary Journal of Agricultural, Biological and Environmental Statistics 26 (4), 604-611, 2021 | 3 | 2021 |
| The SPDE approach for spatio-temporal datasets with advection and diffusion: A matrix-free approach L Clarotto, D Allard, T Romary, N Desassis 15th International Conference of the ERCIM WG on Com-Putational and …, 2022 | 1 | 2022 |
| Spatio-temporal prediction by stochastic partial differential equationsPrédiction spatio-temporelle par équations aux dérivées partielles stochastiques L Clarotto Université Paris sciences et lettres, 2023 | | 2023 |
| Spatio-temporal modeling with stochastic partial differential equations: simulation and inference L Clarotto, D Allard, N Desassis, T Romary 21th IAMG Conference, 2022 | | 2022 |