Julie Josse
Julie Josse
Professor of Statistics, Polytechnique
Verifierad e-postadress på polytechnique.edu - Startsida
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FactoMineR: an R package for multivariate analysis
S Lê, J Josse, F Husson
Journal of statistical software 25 (1), 1-18, 2008
41242008
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
6542013
missMDA: a package for handling missing values in multivariate data analysis
J Josse, F Husson
Journal of Statistical Software 70 (1), 1-31, 2016
3382016
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, 1-17, 2010
3372010
Testing the significance of the RV coefficient
J Josse, J Pagès, F Husson
Computational Statistics & Data Analysis 53 (1), 82-91, 2008
2192008
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
2152012
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
1802012
FactoMineR: factor analysis and data mining with R
F Husson, J Josse, S Le, J Mazet
R package version 1 (04), 2007
165*2007
Principal component analysis with missing values: a comparative survey of methods
S Dray, J Josse
Plant Ecology 216 (5), 657-667, 2015
1002015
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
962012
Statistiques avec R
PA Cornillon, F Husson, N Jégou, E Matzner-Lober, J Josse, A Guyader, ...
Lectures, Les livres, 2012
962012
Package ‘FactoMineR’
F Husson, J Josse, S Le, J Mazet, MF Husson
An R package 96, 698, 2016
922016
Multiple imputation in principal component analysis
J Josse, J Pagès, F Husson
Advances in data analysis and classification 5 (3), 231-246, 2011
912011
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
832016
Multiple correspondence analysis
F Husson, J Josse
Visualization and verbalization of data, 165-184, 2014
522014
Measuring multivariate association and beyond
J Josse, S Holmes
Statistics surveys 10, 132, 2016
452016
Regularised PCA to denoise and visualise data
M Verbanck, J Josse, F Husson
Statistics and Computing 25 (2), 471-486, 2015
412015
missMDA: Handling missing values with/in multivariate data analysis (principal component methods)
F Husson, J Josse
R package version 1 (1), 2013
412013
Adaptive shrinkage of singular values
J Josse, S Sardy
Statistics and Computing 26 (3), 715-724, 2016
402016
Gestion des données manquantes en analyse en composantes principales
J Josse, F Husson, J Pagès
Journal de la Société Française de Statistique 150 (2), 28-51, 2009
392009
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Artiklar 1–20