Sept 2016, I am a professor, pcc, of Statistics at the applied math department (CMAP) at Ecole Polytechnique (Saclay) and member of the data-science initiative and XPOP INRIA team.

News:  elected at the R Foundation for Statistical Computing and in the Conference Committee.  Member of R forwards.  Head of the communication of the French Statistical Society.

Blog posts and multivariate studies of the R community. Blog posts: Multiple imputations;  Can we believe in the  imputation?

PostDoc Positions/ internships position: available on missing values, if you are interested contact me.  

julie.josse[at]polytechnique.edu   – Office, Labo 0,  CMAP 3rd floor num: 05 3003

My main research fields are missing values, visualization with dimensionality reduction (PCA, correspondence analysis), multi­-blocks data, low rank matrix estimation. Detailed CV

Research

On going projects:

Associate Editor: Journal of Computational & Graphical Statistics.

An overview of my research can be found in my Habilitation.  (slides)

Publications:
YearAuthors Title link
2017Bollmann, S., Cook, Di. Dumas, J., Fox, J., Josse, J., Keyes, O. Strobl, C., Turner, H. and Debelak, R.A First Survey on the Diversity of the R Community.
2017G. Celeux, J. Jewson, J. Josse, J.M. Marin and 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 approaches to PageRank type
algorithms for rating scientific journals.
pdf
2017Preparing a special issue for Statistical Sciences on missing values.pdf
2017Robin, G, Sardy, S., Moulines, E. and Josse, J. Low rank log-linear models for contingency tables.
Submitted.
pdf
2017Mozharovskyi, P., Husson, F. and Josse, J.Nonparametric imputation by data depth.
Submitted.
pdf
2016Sobczyk, P, Bogdan, M. and Josse, J.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
2016Josse, J., Sardy, S. and Wager, S.denoiseR: a package for low rank matrix estimation.
In revision in JSS.
pdf
2016Groenen, P. and Josse, J.
Multinomial Multiple Correspondence Analysis.pdf
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.
pdf
2015Audigier, V., Husson, F. and Josse, J.MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis.
Statistics and Computing.
pdf
2015-2016Josse, J and Wager, S.Regularization for Low-Rank Matrix Estimation.
Journal of Machine Learning research.
pdf
2015Josse, J. and Sardy, S.Adaptive Shrinkage of singular values.
Statistics and Computing.
pdf
2015Josse, J and Husson, F.
missMDA a package to handle missing values in and with multivariate data analysis methods.
Journal of Statistical Software.
pdf
2015 Audigier, V., Husson, F. and Josse, J.Multiple Imputation with Bayesian PCA. 
Journal of Statistical Computation and Simulation.
pdf
2015-2016Josse, J. and Holmes, S.Measuring multivariate association.
Statistics Survey.
pdf
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
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.
pdf
2013Verbanck, M., Josse, J. and Husson, F.Regularized PCA to denoise and visualise data. 
Statistics and Computing.  
pdf
2013Josse, J., Timmerman, M.E. and Kiers, H.A.L.
Missing values in multi-level simultaneous component analysis.
Chemometrics and Intelligent Laboratory Systems.
pdf
2013Husson, F. and Josse, J.Handling missing values in Multiple Factor Analysis.
Food Quality and Preferences.
pdf
2013Josse, J and Husson, F.Handling missing values in exploratory multivariate data analysis methods.
Journal de la SFdS. 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.
Regularized Iterative Multiple Correspondence Analysis.
Journal of Classification.
pdf
2011Josse, J and Husson, F.Selecting the number of components in PCA using cross-validation approximations.
Computational Statistics and Data Analysis.
pdf
2011Josse, J., Husson, F. and Pagès, J.Multiple imputation in PCA.
Advances in data analysis and classification.
pdf
2010Josse, J., Husson, F. 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, F. and Pagès, J.Analyse en Composantes Principales.
Journal de la SFdS.
pdf
2008Josse, J., Husson, F. and Pagès, J.Testing the significance of the RV coefficient.
Computational Statistics and Data Analysis.
pdf
2008Lê S., Josse, J. and Husson, F.FactoMineR: an R package for multivariate analysis.
Journal of Statistical Software.
pdf

Books

P-A. Cornillon, A. Guyader, F. Husson, N. Jégou, J. Josse, M. Kloareg, E. Matzner-Løber, L. Rouvière. (2012). R for statistics. Chapman & Hall.

P-A. Cornillon, A. Guyader, F. Husson, N. Jégou, J. Josse, M. Kloareg, E. Matzner-Løber, L. Rouvière. (2008, 2010, 2012). Statistique avec R. Presses Universitaires de Rennes.

Chapter in Books:
Husson, F. & Josse, J. (2014). Multiple correspondence analysis. Book chapter. The Visualization and Verbalization of Data

Software – R community

I am involved in the R software community and I am sincerely glad to have been elected as a member of the R Foundation for Statistical Computing,

Development of packages:
FactoMineR: visualization with principal components methods
missMDA: missing values (imputation continuous, categorical data) – matrix completion
denoiseR: low rank matrix estimation with regularized SVD and bootstrap

I  served as an associate editor of Journal of Statistical Software (2011-2017) and I am involved in Rforwards to leading the R community forwards in widening the participation of women and other under-represented group.
With M. Chavent, S. Dray, R. Genuer, F.Husson, B. Liquet, J. Sarracco, we created the « French R board group » to support the organization of Les Rencontres R.

News: Video presentation of Rforwards. Blog posts and multivariate studies of the R community. Member of the scientific committee of Les rencontres R, useR! 2017.

Support R with the R consortium.

Teaching

As a French associate professor, I teach around 200 hours/year (lectures, computer labs mainly with the R software) and I supervise master students projects and their internship in industry. Learn more …

In addition, I give tutorials in different instituts and in conferences:

YearTitleEventsslides/video
2016-2017Missing values imputationuseR!2016, Stanford
Gdr Ecology stat, Lyon
INRIA, saclay
Ozone data
codeMissUSER2016
slides
2015Handling missing values with a special focus on the use of principal component methods. (3h).useR! 2015, the R useR conference, Aalborg, Denmark
2014Lecture on dealing with missing values. (3h)Stanford University, CA, USA[slides] [ozone data]
[code]
[ecological data]
[code]
2011Panorama sur les méthodes d'analyse exploratoire des données. (3h)Journées de l'Ecole Doctorale Pierre Louis de Santé Publique : Epidémiologie et Sciences de l'Information Biomédicale. St Malo, France[slides, data]

Misc

Conferences organization head:
– The first MissData on missing values and matrix completion, June 2015.
– Correspondence analysis related methods CARME 2011. Videos. Let the data speak…. data analysis
– The R conference useR! 2009

Links:
– SFdS French Statistical Society – Interested in data sciences? Join-us!!
– Some references on data analysis, data sciences.
– These days I suggest Brian Caffo youtube channel.