Research

On going projects:

Papers:

IDAuthorsTitlelink
2017 G. Celeux, J. Jewson, J. Josse, J.M. Marin, C. P. Robert.
Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig[pdf]
2017Foulley, JL, Celeux, G and Josse, J.Empirical Bayes interpretation of PageRank index in Bibliometry
2017Preparing a special issue for Statistical Sciences on missing values.
2017Robin, G, Sardy, S., Moulines, E. and Josse, J. Low rank log-linear models for contingency tables. Submitted.[pdf]
R code
2017Mozharovskyi, P., Husson, F. and Josse, j. Nonparametric imputation by data depth. Submitted.[pdf]
R package
2016Sobczyk, P, Bogdan, M. and Josse, J.Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood.
Journal of Computational and Graphical Statistics JCGS.

[pdf]
2016Fithian, W. and Josse, J.Multiple Correspondence Analysis & the Multilogit Bilinear Model.
Journal of Multivariate Analysis.
[pdf]
2016Husson, F., Josse, J. and Saporta, G.Jan de Leeuw and the French school of data analysis.
Journal of Statistical Software.
[pdf]
2016 Groenen, P. and Josse, J. Multinomial Multiple Correspondence Analysis.[pdf]
2016 Josse, J., Sardy, S. and Wager, S. denoiseR: a package for low rank matrix estimation. Submitted in JSS.[pdf]
R package
2016Fujii, H., Josse, J., Tanioka, M., Miyachi, Y. Husson, F., and Ono, M.Regulatory T cells in melanoma revisited by a computational clustering of FOXP3+ T cell subpopulations.
Journal of Immunology
2015Audigier, V., Husson, F. and Josse, J.
MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis.
Statistics and Computing.
[pdf] [code]
2015 (2016)Josse, J and Wager, S. Bootstrap-Based Regularization for Low-Rank Matrix Estimation.
Journal of Machine Learning research.
[pdf][R package]
2015Josse, J. and Sardy, S. Adaptive Shrinkage of singular values.
Statistics and Computing.
[pdf]
R package
2015Josse, J and Husson, F. missMDA a package to handle missing values in and with multivariate data analysis methods.
Journal of Statistical Software.
[pdf]
R package
2015 Audigier, V., Husson, F. and Josse, J. Multiple imputation for continuous variables using Bayesian PCA. 
Journal of Statistical Computation and Simulation.
[pdf]
2015 (2016)Josse, J. and Holmes, S.Measuring multivariate association.
Statistics Survey.
[pdf] [R code] [data]
2014Audigier, V., Husson, F. and Josse, J.A principal components method to impute mixed data. 
Advances in Data analysis and Classification
[pdf]
2014Josse, J., Wager, S. and Husson, F. Confidence areas for fixed-effects PCA. 
Journal of Computational and Graphical Statistics.
[pdf]
[code]
2014Dray, S and Josse, J. Principal component analysis with missing values: a comparative survey of methods.
Plant Ecology. 
[pdf]
2014Josse, J.,  van Eeuwijk, F., Piepho, H-P and Denis, J.B. Another look at Bayesian analysis of AMMI models for genotype-environment data. 
Journal of Agricultural, Biological, and Environmental Statistics. 19 (2), pp 240-257.
[pdf]
2013Verbanck, M., Josse, J. and Husson, F. Regularized PCA to denoise and visualise data. 
Statistics and Computing.   25 (2), pp 47-486.
[pdf]
2013Josse, J., Timmerman, M.E. and Kiers, H.A.L. Missing values in multi-level simultaneous component analysis.
Chemometrics and Intelligent Laboratory Systems. 129, pp 21–32
2013Husson, F. and Josse, J.Handling missing values in Multiple Factor Analysis.
Food Quality and Preferences. 30 (2), pp. 77–85
[pdf]
2013Josse, J and Husson, F. Handling missing values in exploratory multivariate data analysis methods.
Journal de la SFdS. 153 (2), pp. 79-99. Paper written for the best Ph.D doctoral thesis prize delivered by the French Statistical Society.
[pdf]
2012Josse, J., Chavent, M., Liquet, B. and Husson, F. Handling missing values with Regularized Iterative Multiple Correspondence Analysis.
Journal of Classification. 29 (1), pp.91-116.
[pdf]
[R package]
2011Josse, J. and Husson, F. Selecting the number of components in PCA using cross-validation approximations.
Computational Statistics and Data Analysis. 56 (6), pp. 1869-1879.
[pdf]
[R package]
2011Josse, J., Husson, F. and Pagès, J. Multiple imputation in PCA.
Advances in data analysis and classification. 5 (3), pp. 231-246.
[R package]
2010Husson, F., Josse, J. and Pagès J. Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?
Technical report.
[pdf]
2009Josse, J., Husson, H. and Pagès, J. Gestion des données manquantes en Analyse en Composantes Principales.
Journal de la SFdS. 150 (2), pp. 28-51.
[pdf]
2008Josse, J., Pagès, J. and Husson, F.Testing the significance of the RV coefficient.
Computational Statistics and Data Analysis. 53, pp. 82-91.
[pdf]
[R package]
2008Lê S., Josse, J. and Husson, F. FactoMineR: an R package for multivariate analysis.
Journal of Statistical Software. 25 (1), pp. 1-18.
[pdf] [R package]