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Julie Josse
Julie Josse
Senior Researcher Inria,
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
106242008
missMDA: a package for handling missing values in multivariate data analysis
J Josse, F Husson
Journal of statistical software 70, 1-31, 2016
11382016
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
999*2013
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
6832010
Package ‘factominer’
F Husson, J Josse, S Le, J Mazet, MF Husson
An R package 96 (96), 698, 2016
5372016
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
3382012
Testing the significance of the RV coefficient
J Josse, J Pagès, F Husson
Computational Statistics & Data Analysis 53 (1), 82-91, 2008
3032008
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
2732012
Principal component analysis with missing values: a comparative survey of methods
S Dray, J Josse
Plant Ecology 216, 657-667, 2015
2432015
A principal component method to impute missing values for mixed data
V Audigier, F Husson, J Josse
Advances in Data Analysis and Classification 10, 5-26, 2016
1762016
FactoMineR: an R package for multivariate analysis
F Husson, J Josse, S Lê, J Mazet
Journal of statistical software 25 (1), 1-18, 2008
1762008
Multiple imputation in principal component analysis
J Josse, J Pagès, F Husson
Advances in data analysis and classification 5, 231-246, 2011
1652011
Missing data imputation using optimal transport
B Muzellec, J Josse, C Boyer, M Cuturi
International Conference on Machine Learning, 7130-7140, 2020
1562020
Multiple correspondence analysis
F Husson, J Josse
Visualization and verbalization of data 22, 2014
1452014
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
1452012
Causal inference methods for combining randomized trials and observational studies: a review
B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux, JP Vert, J Josse, ...
Statistical science 39 (1), 165-191, 2024
1402024
Adaptive conformal predictions for time series
M Zaffran, O Féron, Y Goude, J Josse, A Dieuleveut
International Conference on Machine Learning, 25834-25866, 2022
1392022
On the consistency of supervised learning with missing values
J Josse, JM Chen, N Prost, G Varoquaux, E Scornet
Statistical Papers 65 (9), 5447-5479, 2024
1342024
Statistiques avec R
PA Cornillon, F Husson, N Jégou, E Matzner-Lober, J Josse, A Guyader, ...
Lectures, Les livres, 2010
1312010
Measuring multivariate association and beyond
J Josse, S Holmes
Statistics surveys 10, 132, 2016
1122016
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