Maître de conférences en statistique
UMR MIA Paris-Saclay (équipe SOLsTIS)
Université Paris-Saclay, AgroParisTech, INRAE
Campus Agro Paris-Saclay
22 place de l'Agronomie
91120 Palaiseau
Bureau : E4.224
E-mail : laure.sansonnet -- @ -- agroparistech.fr
Tél. : +33 (0) 1 89 10 09 66
Publications
Preprints
- M. Naveau, M. Delattre and L. Sansonnet
Posterior contraction rates in a sparse non-linear mixed-effects model
Submitted [hal-04561040], 2024. - A. Godichon-Baggioni, S. Robin and L. Sansonnet
Online and Offline Robust Multivariate Linear Regression
Submitted [hal-04560889], 2024. - C. Denis, C. Dion-Blanc, R. Lacoste, L. Sansonnet and Y. Bas
Bats Monitoring: A Classification Procedure of Bats Behaviors based on Hawkes Processes
Submitted [hal-04345822], 2023. - M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, C. Bailly and L. Rajjou
- Variable selection in sparse multivariate GLARMA models: Application to germination control by environment
Submitted [hal-03905876], 2023.
Accepted/Published papers
- M. Gomtsyan, C. Lévy-Leduc, S. Ouadah and L. Sansonnet
Sign consistent estimation in a sparse Poisson model
Statistics & Probability Letters 209 [DOI: 10.1016/j.spl.2024.110107], 2024. - M. Naveau, G. Kon Kam King, R. Rincent, L. Sansonnet and M. Delattre
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
Statistics and Computing 34(53) [DOI: 10.1007/s11222-023-10367-4], 2024. - C. Denis, C. Dion-Blanc and L. Sansonnet
Multiclass Classification for Hawkes Processes
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR 180: 539-547 [https://proceedings.mlr.press/v180/denis22a.html], 2022. - M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet and T. Blein
Variable selection in sparse GLARMA models
Statistics 56(4): 755-784 [DOI: 10.1080/02331888.2022.2090943], 2022. - C. Denis, E. Lebarbier, C. Lévy-Leduc, O. Martin and L. Sansonnet
A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats
Journal of the Royal Statistical Society: Series C (Applied Statistics) 69(3): 623-640 [DOI: 10.1111/rssc.12404], 2020. - M. Grandclaudon, M. Perrot-Dockès, C. Trichot, L. Karpf, O. Abouzid, C. Chauvin, P. Sirven, W. Abou-Jaoudé, F. Berger, P. Hupé, D. Thieffry, L. Sansonnet, J. Chiquet, C. Lévy-Leduc and V. Soumelis
A quantitative multivariate model of human dendritic cell-T helper cell communication
Cell 179(2): 432-447 [DOI: 10.1016/j.cell.2019.09.012], 2019. - X. J. Hunt, P. Reynaud-Bouret, V. Rivoirard, L. Sansonnet and R. Willett
A data-dependent weighted LASSO under Poisson noise
IEEE Transactions on Information Theory 65(3): 1589-1613 [DOI: 10.1109/TIT.2018.2869578], 2019. - M. Perrot-Dockès, C. Lévy-Leduc, J. Chiquet, L. Sansonnet, M. Brégère, M.-P. Étienne, S. Robin and G. Genta-Jouve
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data
Statistical Applications in Genetics and Molecular Biology 17(5) [DOI: 10.1515/sagmb-2017-0077], 2018. - M. Perrot-Dockès, C. Lévy-Leduc, L. Sansonnet and J. Chiquet
Variable selection in multivariate linear models with high-dimensional covariance matrix estimation
Journal of Multivariate Analysis 166: 78-97 [DOI: 10.1016/j.jmva.2018.02.006], 2018. - V. Brault, S. Ouadah, L. Sansonnet and C. Lévy-Leduc
Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices
Journal of Multivariate Analysis 165: 143-165 [DOI: 10.1016/j.jmva.2017.12.005], 2018. - F. Roueff, R. von Sachs and L. Sansonnet
Locally stationary Hawkes processes
Stochastic Processes and their Applications 126(6): 1710-1743 [DOI: 10.1016/j.spa.2015.12.003], 2016. - L. Sansonnet and C. Tuleau-Malot
A model of Poissonian interactions and detection of dependence
Statistics and Computing 25: 449-470 [DOI: 10.1007/s11222-013-9443-z], 2015. - L. Sansonnet
Wavelet thresholding estimation in a Poissonian interactions model with application to genomic data
Scandinavian Journal of Statistics 41(1): 200-226 [DOI: 10.1111/sjos.12009], 2014.