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Julie Josse
Julie Josse
Senior Researcher Inria, Professor at Ecole Polytechnique
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
FactoMineR: an R package for multivariate analysis
S Lê, J Josse, F Husson
Journal of statistical software 25, 1-18, 2008
69422008
FactoMineR: multivariate exploratory data analysis and data mining with R
F Husson, J Josse, S Le, J Mazet
R package version 1 (1.29), 2013
786*2013
missMDA: a package for handling missing values in multivariate data analysis
J Josse, F Husson
Journal of Statistical Software 70, 1-31, 2016
7032016
Principal component methods-hierarchical clustering-partitional clustering: why would we need to choose for visualizing data
F Husson, J Josse, J Pages
Applied Mathematics Department 17, 2010
5132010
Handling missing values in exploratory multivariate data analysis methods
J Josse, F Husson
Journal de la Société Française de Statistique 153 (2), 79-99, 2012
2752012
FactoMineR: Multivariate exploratory data analysis and data mining with R. R package version 1.26
F Husson, J Josse, S Le, J Mazet
Available at h ttp://CRAN. R-project. org/p ackage= FactoMineR, 2014
2522014
Testing the significance of the RV coefficient
J Josse, J Pagès, F Husson
Computational Statistics & Data Analysis 53 (1), 82-91, 2008
2522008
Selecting the number of components in principal component analysis using cross-validation approximations
J Josse, F Husson
Computational Statistics & Data Analysis 56 (6), 1869-1879, 2012
2332012
Principal component analysis with missing values: a comparative survey of methods
S Dray, J Josse
Plant Ecology 216 (5), 657-667, 2015
1822015
Package ‘factominer’
F Husson, J Josse, S Le, J Mazet, MF Husson
An R package 96, 698, 2016
1742016
A principal component method to impute missing values for mixed data
V Audigier, F Husson, J Josse
Advances in Data Analysis and Classification 10 (1), 5-26, 2016
1402016
FactoMineR: an R package for multivariate analysis
F Husson, J Josse, S Lê, J Mazet
Journal of statistical software 25 (1), 1-18, 2008
1302008
Multiple imputation in principal component analysis
J Josse, F Husson
Advances in data analysis and classification 5 (3), 231-246, 2011
1272011
Handling missing values with regularized iterative multiple correspondence analysis
J Josse, M Chavent, B Liquet, F Husson
Journal of classification 29 (1), 91-116, 2012
1262012
Statistiques avec R
PA Cornillon, F Husson, N Jégou, E Matzner-Lober, J Josse, A Guyader, ...
Lectures, Les livres, 2012
1122012
Multiple correspondence analysis
F Husson, J Josse
Visualization and verbalization of data, 165-184, 2014
972014
Measuring multivariate association and beyond
J Josse, S Holmes
Statistics surveys 10, 132, 2016
812016
On the consistency of supervised learning with missing values
J Josse, N Prost, E Scornet, G Varoquaux
arXiv preprint arXiv:1902.06931, 2019
702019
Multivariate exploratory data analysis and data mining
F Husson, J Josse, S Le, J Mazet
R package, 2016
622016
MIMCA: multiple imputation for categorical variables with multiple correspondence analysis
V Audigier, F Husson, J Josse
Statistics and computing 27 (2), 501-518, 2017
552017
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