Laure Sansonnet

32

Documents

Presentation

Publications

	Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm Marion Naveau , Guillaume Kon Kam King , Renaud Rincent , Laure Sansonnet , Maud Delattre Statistics and Computing, 2024, 34 (1), pp.53. ⟨10.1007/s11222-023-10367-4⟩ Journal articles hal-04395282v1
	Variable selection in sparse GLARMA models Marina Gomtsyan , Céline Lévy-Leduc , Sarah Ouadah , Laure Sansonnet , Thomas Blein Statistics, 2022, 56 (4), pp.755-784. ⟨10.1080/02331888.2022.2090943⟩ Journal articles hal-03763853v1
	A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats Christophe Denis , Emilie Lebarbier , C. Lévy-Leduc , Olivier Martin , Laure Sansonnet Journal of the Royal Statistical Society: Series C Applied Statistics, 2020, 69 (3), pp.623-640. ⟨10.1111/rssc.12404⟩ Journal articles hal-02191217v1
	A Data-Dependent Weighted LASSO Under Poisson Noise Xin Jiang Hunt , Patricia Reynaud-Bouret , Vincent Rivoirard , Laure Sansonnet , Rebecca Willett IEEE Transactions on Information Theory, 2019, 65 (3), pp.1589-1613. ⟨10.1109/TIT.2018.2869578⟩ Journal articles hal-02175582v1
	A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication Maximilien Grandclaudon , Marie Perrot-Dockes , Coline Trichot , Léa Karpf , Omar Abouzid Cell, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩ Journal articles hal-02316607v1
	Variable selection in multivariate linear models with high-dimensional covariance matrix estimation Marie Perrot-Dockès , Celine Levy Leduc , Laure Sansonnet , Julien Chiquet Journal of Multivariate Analysis, 2018, 166, pp.78-97. ⟨10.1016/j.jmva.2018.02.006⟩ Journal articles hal-02621107v1
	A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data Marie Perrot-Dockes , Celine Levy Leduc , Julien Chiquet , Laure Sansonnet , Margaux Brégère Statistical Applications in Genetics and Molecular Biology, 2018, 17 (5), pp.20170077. ⟨10.1515/sagmb-2017-0077⟩ Journal articles hal-01896164v1
	Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices Vincent Brault , Sarah Ouadah , Laure Sansonnet , Céline Lévy-Leduc Journal of Multivariate Analysis, 2018, 165, pp.143-165. ⟨10.1016/j.jmva.2017.12.005⟩ Journal articles hal-01468198v2
	Locally stationary Hawkes processes François Roueff , Rainer von Sachs , Laure Sansonnet Stochastic Processes and their Applications, 2016, 126 (6), pp.Pages 1710-1743. ⟨10.1016/j.spa.2015.12.003⟩ Journal articles hal-01153882v1
	Wavelet thresholding estimation in a poissonian interactions model with application to genomic data Laure Sansonnet Scandinavian Journal of Statistics, 2014, 41 (1), pp.200-226. ⟨10.1111/sjos.12009⟩ Journal articles hal-01551073v1
	A model of Poissonian interactions and detection of dependence Laure Sansonnet , Christine Tuleau-Malot Statistics and Computing, 2013, 25 (2), pp.10.1007/s11222-013-9443-z. ⟨10.1007/s11222-013-9443-z⟩ Journal articles hal-00780598v2

	High-dimensional variable selection in non-linear mixed-effects models using a stochastic EM spike-and-slab Marion Naveau , Guillaume Kon Kam King , Renaud Rincent , Laure Sansonnet , Maud Delattre European Meeting of Statisticians, Bernoulli Society, Jul 2023, Warsaw, Poland Conference papers hal-04248037v1
	Variable selection in sparse multivariate GLARMA models: Application to germination control by environment M. Gomtsyan , Céline Lévy-Leduc , Sarah Ouadah , Laure Sansonnet , Christophe Bailly Statistical Methods for Post Genomic Data (SMPGD) 2023, Feb 2023, Ghent (BE), Belgium Conference papers hal-04239746v1
	Selection consistency in non-linear mixed-effects models under spike-and-slab prior Marion Naveau , Laure Sansonnet , Maud Delattre Colloque Jeunes Probabilistes et Statisticiens, Oct 2023, Saint Pierre d'Oleron, France Conference papers hal-04248058v1
	Variable selection in sparse GLARMA models M. Gomtsyan , Céline Lévy-Leduc , Sarah Ouadah , Laure Sansonnet Statistical Methods for Post-Genomic Data, 2022, Nantes (44000), France Conference papers hal-04224705v1
	Sélection de variables en grande dimension dans les modèles non linéaires à effets mixtes Marion Naveau , Guillaume Kon Kam King , Laure Sansonnet , Maud Delattre 9ème Rencontre des Jeunes Statisticiens, Apr 2022, Porquerolles, France Conference papers hal-04247947v1
	Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm Marion Naveau , Guillaume Kon Kam King , Laure Sansonnet , Maud Delattre 53ème Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France Conference papers hal-04247962v1
	Bayesian high-dimensional variable selection in non-linear mixed-effects models using the SAEM algorithm Marion Naveau , Guillaume Kon Kam King , Laure Sansonnet , Maud Delattre Journée APPLIBUGS, Jun 2022, Lyon, France Conference papers hal-04247984v1
	Processus de Hawkes localement stationnaires Laure Sansonnet , François Roueff , Rainer von Sachs 48èmes Journées de Statistique de la SFdS , May 2016, Montpellier, France Conference papers hal-01589331v1
	Test d'homogénéité non-paramétrique pour les données Hi-C Vincent Brault , Celine C. Levy Leduc , Sarah Ouadah , Laure Sansonnet 48èmes Journées de Statistique de la SFdS , May 2016, Montpellier, France Conference papers hal-01589407v1
	Genomic transcription regulatory element location analysis via poisson weighted lasso Xin Jiang , Patricia Reynaud-Bouret , Vincent Rivoirard , Laure Sansonnet , Rebecca Willett Statistical Signal Processing Workshop (SSP), 2016 IEEE, Jun 2016, Palma de Mallorca, Spain. pp.16263580, ⟨10.1109/SSP.2016.7551831⟩ Conference papers hal-01585531v1

	Posterior contraction rates in a sparse non-linear mixed-effects model Marion Naveau , Maud Delattre , Laure Sansonnet 2024 Preprints, Working Papers, ... hal-04561040v2
	ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths Charlotte Dion-Blanc , Christophe Denis , Laure Sansonnet , Romain Edmond Lacoste 2024 Preprints, Working Papers, ... hal-04646888v1
	Online and Offline Robust Multivariate Linear Regression Antoine Godichon-Baggioni , Stephane S. Robin , Laure Sansonnet 2024 Preprints, Working Papers, ... hal-04560889v1
	Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm Marion Naveau , Guillaume Kon Kam King , Renaud Rincent , Laure Sansonnet , Maud Delattre 2023 Preprints, Working Papers, ... hal-03685060v4
	Bats Monitoring: A Classification Procedure of Bats Behaviors based on Hawkes Processes Christophe Denis , Charlotte Dion-Blanc , Romain Edmond Lacoste , Laure Sansonnet , Yves Bas 2023 Preprints, Working Papers, ... hal-04345822v1
	VARIABLE SELECTION IN SPARSE MULTIVARIATE GLARMA MODELS: APPLICATION TO GERMINATION CONTROL BY ENVIRONMENT M Gomtsyan , Céline Lévy-Leduc , Sarah Ouadah , Laure Sansonnet , C Bailly 2022 Preprints, Working Papers, ... hal-03905876v1
	Multiclass Classification for Hawkes Processes Christophe Denis , Charlotte Dion , Laure Sansonnet 2021 Preprints, Working Papers, ... hal-03147211v1
	Variable selection in sparse GLARMA models M. Gomtsyan , C. Lévy-Leduc , Sarah Ouadah , Laure Sansonnet 2020 Preprints, Working Papers, ... hal-02903367v1
	A data-dependent weighted LASSO under Poisson noise Xin Jiang , Patricia Reynaud-Bouret , Vincent Rivoirard , Laure Sansonnet , Rebecca Willett 2015 Preprints, Working Papers, ... hal-01226837v1
	Wavelet thresholding estimation in a Poissonian interactions model with application to genomic data Laure Sansonnet 2011 Preprints, Working Papers, ... hal-00610022v1

	Inférence non-paramétrique pour des interactions poissoniennes Laure Sansonnet Mathématiques générales [math.GM]. Université Paris Sud - Paris XI, 2013. Français. ⟨NNT : 2013PA112084⟩ Theses tel-00835427v1