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Vincent Audigier

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Publications

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An ensemble learning method for variable selection: application to high dimensional data and missing values

Avner Bar-Hen , Vincent Audigier
Journal of Statistical Computation and Simulation, 2022, ⟨10.1080/00949655.2022.2070621⟩
Journal articles hal-02635566v1

Clustering with missing data: which equivalent for Rubin’s rules?

Vincent Audigier , Ndèye Niang
Advances in Data Analysis and Classification, 2022, ⟨10.1007/s11634-022-00519-1⟩
Journal articles hal-03766733v1
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Severe Altered Immune Status After Burn Injury Is Associated With Bacterial Infection and Septic Shock

Hélène Moins-Teisserenc , Debora Jorge Cordeiro , Vincent Audigier , Quentin Ressaire , Mourad Benyamina et al.
Frontiers in Immunology, 2021, 12, pp.586195. ⟨10.3389/fimmu.2021.586195⟩
Journal articles hal-03156801v1
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Severe diffuse alveolar hemorrhage related to autoimmune disease: a multicenter study

Adrien Mirouse , Antoine Parrot , Vincent Audigier , Alexandre Demoule , Julien Mayaux et al.
Critical Care, 2020, 24 (1), ⟨10.1186/s13054-020-02936-0⟩
Journal articles hal-02625921v1
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Multiple Imputation for Multilevel Data with Continuous and Binary Variables

Vincent Audigier , Ian White , Shahab Jolani , Thomas Debray , Matteo Quartagno et al.
Statistical Science, 2018, 33 (2), pp.160-183. ⟨10.1214/18-STS646⟩
Journal articles hal-02469133v1

MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis

Vincent Audigier , François Husson , Julie Josse
Statistics and Computing, 2017, 27 (2), pp.501-518. ⟨10.1007/s11222-016-9635-4⟩
Journal articles hal-01170864v1

Multiple imputation for continuous variables using a Bayesian principal component analysis

Vincent Audigier , François Husson , Julie Josse
Journal of Statistical Computation and Simulation, 2016, 86 (11), pp.2140-2156. ⟨10.1080/00949655.2015.1104683⟩
Journal articles hal-00951915v1

A principal components method to impute missing values for mixed data

Vincent Audigier , François Husson , Julie Josse
Advances in Data Analysis and Classification, 2016, 10 (1), pp.5-26. ⟨10.1007/s11634-014-0195-1⟩
Journal articles hal-00832935v1

Clustering with missing data: which imputation model for which cluster analysis method?

Vincent Audigier , Ndèye Niang , Matthieu Resche-Rigon
17th conference of the International Federation of Classification Societies, Jul 2022, Porto, Portugal
Conference papers hal-03693455v1

Gestion des données manquantes pour les analyses de survie

Vincent Audigier , Matthieu Resche-Rigon , Edouard F Bonneville
EPICLIN 2022, 29èmes journées des statisticiens des CLCC, Stefan Michiels; Xavier Paoletti, May 2022, Paris, France
Conference papers hal-03953885v1
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Secure and non-interactive k-NN classifier using symmetric fully homomorphic encryption

Yulliwas Ameur , Rezak Aziz , Vincent Audigier , Samia Bouzefrane
Privacy in statistical databases (PSD'2022), Sep 2022, Paris, France. pp.142-154, ⟨10.1007/978-3-031-13945-1_11⟩
Conference papers hal-03933277v1

Cluster analysis after multiple imputation

Vincent Audigier , Ndèye Niang
ASMDA 2021, Jun 2021, Athènes, Greece
Conference papers hal-03544485v1

SOM-based clusterwise regression

Houda Hassini , Ndèye Niang , Vincent Audigier
Data Science, Statistics and Visualisation, Jul 2021, Rotterdam, Netherlands
Conference papers hal-03544471v1

Clustering sur données incomplètes : quel modèle d’imputation choisir ?

V. Audigier , Ndèye Niang , M. Resche-Rigon
EPICLIN 2021 – 15e Conférence francophone d’épidémiologie clinique – 28e Journées des statisticiens des centres de lutte contre le cancer, Aix-Marseille Université; Institut Paoli-Calmettes de Marseille, Jun 2021, Marseille, France. pp.S21-S22, ⟨10.1016/j.respe.2021.04.035⟩
Conference papers hal-03542951v1

micemd: a smart multiple imputation R package for missing multilevel data

Vincent Audigier , Matthieu Resche Rigon
UseR!2019, Jul 2019, Toulouse, France
Conference papers hal-03543542v1
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Imputation multiple pour données mixtes par analyse factorielle

Vincent Audigier , François Husson , Julie Josse , Matthieu Resche-Rigon
JdS2019 - 51es Journées de Statistique de la Société Française de Statistique, Société Française de Statistique, Jun 2019, Vandœuvre-lès-Nancy, France
Conference papers hal-02355840v1

Clustering with missing data: Pooling multiple imputation results with consensus clustering

Lilith Faucheux , Matthieu Resche-Rigon , Vincent Audigier , Emmanuel Curis , Vassili Soumelis et al.
40th Annual Conference of the International Society for Clinical Biostatistics, Tomasz Burzykowski, Jul 2019, Leuven (BE), Belgium
Conference papers hal-04000687v1

Une méthode d'ensemble pour la sélection de variables : application à la grande dimension et aux données manquantes

Avner Bar-Hen , Vincent Audigier
50emes journées de la statistique, SFDS, May 2018, Saclay, France
Conference papers hal-04000662v1

Multiple imputation for multilevel data with continuous and binary variables

V. Audigier , Ian White , Shahab Jolani , Thomas. P. A. Debray , Matteo Quartagno et al.
Chimiométrie XIX, Conservatoire National des Arts et Métiers; Société Française de Statistique, Jan 2018, CNAM Paris, France
Conference papers hal-04000640v1

Multiple imputation for multilevel data with continuous and binary variables

Vincent Audigier , Ian White , Shahab Jolani , Thomas. P. A. Debray , Stef van Buuren et al.
Journée de rencontres scientifiques autour de la statistique pour la biologie et la médecine, LMA, Univ. Poitiers, Feb 2018, Poitiers (Université de Poitiers), France
Conference papers hal-04000648v1
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Imputation de données manquantes pour des données mixtes via les méthodes factorielles grâce à missMDA

Vincent Audigier , François Husson , Julie Josse
1ères Rencontres R, Jul 2012, Bordeaux, France
Conference papers hal-00716876v1
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Application of Homomorphic Encryption in Machine Learning

Yulliwas Ameur , Samia Bouzefrane , Vincent Audigier
Kevin Daimi, Abeer Alsadoon, Cathryn Peoples, Nour El Madhoun Editors. Emerging Trends in Cybersecurity Applications, Springer International Publishing, pp.391-410, 2023, 978-3-031-09639-6. ⟨10.1007/978-3-031-09640-2_18⟩
Book sections hal-03933309v1

Gestion des données manquantes par imputation multiple

Vincent Audigier
Anne Gégout-Petit; Myriam Maumy; Gilbert Saporta; Christine Thomas-Agnan. Données manquantes, Editions TECHNIP, 2022, 9782710811954
Book sections hal-03693373v1

Imputation multiple en grande dimension par analyse factorielle

Vincent Audigier
Anne Gégout-Petit; Myriam Maumy; Gilbert Saporta; Christine Thomas-Agnan. Données manquantes, Editions TECHNIP, 2022, 9782710811954
Book sections hal-03693391v1