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Production year

Number of documents

8

Les publications de Laure Sansonnet


Laure Sansonnet
 
Maître de conférences
Équipe Stat & Génome
 
MIA Paris
UMR 518 AgroParisTech / INRA
 
AgroParisTech
16, rue Claude Bernard
75231 Paris CEDEX 05
 
E-mail : laure.sansonnet -- @ -- agroparistech.fr
Tél. : +33 (0) 1 44 08 86 08


Céline Lévy-Leduc   

Journal articles6 documents

  • Christophe Denis, Emilie Lebarbier, C. Lévy-Leduc, Olivier Martin, Laure 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, Wiley, 2020, 69 (3), pp.623-640. ⟨10.1111/rssc.12404⟩. ⟨hal-02191217⟩
  • Maximilien Grandclaudon, Marie Perrot-Dockes, Coline Trichot, Léa Karpf, Omar Abouzid, et al.. A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication. Cell, Elsevier, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩. ⟨hal-02316607⟩
  • Vincent Brault, Sarah Ouadah, Laure Sansonnet, Céline Lévy-Leduc. Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices. Journal of Multivariate Analysis, Elsevier, 2018, 165, pp.143-165. ⟨10.1016/j.jmva.2017.12.005⟩. ⟨hal-01468198v2⟩
  • Marie Perrot-Dockès, Celine Levy Leduc, Laure Sansonnet, Julien Chiquet. Variable selection in multivariate linear models with high-dimensional covariance matrix estimation. Journal of Multivariate Analysis, Elsevier, 2018, 166, pp.78-97. ⟨10.1016/j.jmva.2018.02.006⟩. ⟨hal-02621107⟩
  • Marie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet, Laure Sansonnet, Margaux Brégère, et al.. A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, 17 (5), ⟨10.1515/sagmb-2017-0077⟩. ⟨hal-02902041⟩
  • Marie Perrot-Dockes, Celine Levy Leduc, Julien Chiquet, Laure Sansonnet, Margaux Brégère, et al.. A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, ⟨10.1515/sagmb-2017-0077⟩. ⟨hal-01896164⟩

Conference papers1 document

  • Vincent Brault, Celine Levy Leduc, Sarah Ouadah, Laure Sansonnet. Test d'homogénéité non-paramétrique pour les données Hi-C . 48èmes Journées de Statistique de la SFdS , May 2016, Montpellier, France. ⟨hal-01589407⟩

Preprints, Working Papers, ...1 document

  • Céline Lévy-Leduc, Sarah Ouadah, Laure Sansonnet. Variable selection in sparse high-dimensional GLARMA models. 2019. ⟨hal-02186104⟩