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Number of documents

15

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


Journal articles9 documents

  • 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⟩
  • Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett. A Data-Dependent Weighted LASSO Under Poisson Noise. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2019, 65 (3), pp.1589-1613. ⟨10.1109/TIT.2018.2869578⟩. ⟨hal-02175582⟩
  • 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⟩
  • 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⟩
  • François Roueff, Rainer von Sachs, Laure Sansonnet. Locally stationary Hawkes processes. Stochastic Processes and their Applications, Elsevier, 2016, 126 (6), pp.Pages 1710-1743. ⟨10.1016/j.spa.2015.12.003⟩. ⟨hal-01153882⟩
  • Laure Sansonnet, Christine Tuleau-Malot. A model of Poissonian interactions and detection of dependence. Statistics and Computing, Springer Verlag (Germany), 2015, 25 (2), pp.449-470. ⟨hal-01568807⟩
  • Laure Sansonnet. Wavelet thresholding estimation in a poissonian interactions model with application to genomic data. Scandinavian Journal of Statistics, Wiley, 2014, 41 (1), pp.200-226. ⟨10.1111/sjos.12009⟩. ⟨hal-01551073⟩
  • Laure Sansonnet, Christine Tuleau-Malot. A model of Poissonian interactions and detection of dependence. Statistics and Computing, Springer Verlag (Germany), 2013, 25 (2), pp.10.1007/s11222-013-9443-z. ⟨10.1007/s11222-013-9443-z⟩. ⟨hal-00780598v2⟩

Conference papers3 documents

  • 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⟩
  • Xin Jiang, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett. Genomic transcription regulatory element location analysis via poisson weighted lasso. Statistical Signal Processing Workshop (SSP), 2016 IEEE, Jun 2016, Palma de Mallorca, Spain. pp.16263580, ⟨10.1109/SSP.2016.7551831⟩. ⟨hal-01585531⟩
  • Laure Sansonnet, François Roueff, Rainer von Sachs. Processus de Hawkes localement stationnaires. 48èmes Journées de Statistique de la SFdS , May 2016, Montpellier, France. ⟨hal-01589331⟩

Preprints, Working Papers, ...3 documents

  • Céline Lévy-Leduc, Sarah Ouadah, Laure Sansonnet. Variable selection in sparse high-dimensional GLARMA models. 2019. ⟨hal-02186104⟩
  • Xin Jiang, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett. A data-dependent weighted LASSO under Poisson noise. 2015. ⟨hal-01226837⟩
  • Laure Sansonnet. Wavelet thresholding estimation in a Poissonian interactions model with application to genomic data. 2011. ⟨hal-00610022⟩