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Laure Sansonnet

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

  • C. Denis, C. Dion-Blanc, R. Lacoste and L. Sansonnet
    ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
    Submitted [hal-04646888], 2024.
  • 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.
  • 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

  1. C. Denis, C. Dion-Blanc, R. Lacoste, L. Sansonnet and Y. Bas
    Bats Monitoring: A Classification Procedure of Bats Behaviors based on Hawkes Processes
    To appear in the Journal of the Royal Statistical Society: Series C [hal-04345822], 2024.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.

Publications