## Papers

ID | Authors | Title | link |
---|---|---|---|

2017 | Preparing a special issue for Statistical Sciences on missing values. | ||

2017 | Robin, G, Sardy, S., Moulines, E. and Josse, J. | Low rank log-linear models for contingency tables. | [pdf] |

2017 | Mozharovskyi, P., Husson, F. and Josse, j. | Nonparametric imputation by data depth. Submitted. | [pdf] R package |

2016 | Sobczyk, P, Bogdan, M. and Josse, J. | Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood. In revision in JCGS. | [pdf] |

2016 | Fithian, W. and Josse, J. | Multiple Correspondence Analysis & the Multilogit Bilinear Model. Journal of Multivariate Analysis. | [pdf] |

2016 | Husson, 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 |

2016 | Fujii, 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 | |

2015 | Audigier, 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] |

2015 | Josse, J. and Sardy, S. | Adaptive Shrinkage of singular values. Statistics and Computing. | [pdf] R package |

2015 | Josse, 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] |

2014 | Audigier, V., Husson, F. and Josse, J. | A principal components method to impute mixed data. Advances in Data analysis and Classification. | [pdf] |

2014 | Josse, J., Wager, S. and Husson, F. | Confidence areas for fixed-effects PCA. Journal of Computational and Graphical Statistics. | [pdf] [code] |

2014 | Dray, S and Josse, J. | Principal component analysis with missing values: a comparative survey of methods. Plant Ecology. | [pdf] |

2014 | Josse, 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] |

2013 | Verbanck, M., Josse, J. and Husson, F. | Regularized PCA to denoise and visualise data. Statistics and Computing. 25 (2), pp 47-486. | [pdf] |

2013 | Josse, 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 | |

2013 | Husson, F. and Josse, J. | Handling missing values in Multiple Factor Analysis. Food Quality and Preferences. 30 (2), pp. 77–85 | [pdf] |

2013 | Josse, 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] |

2012 | Josse, 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] |

2011 | Josse, 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] |

2011 | Josse, J., Husson, F. and Pagès, J. | Multiple imputation in PCA. Advances in data analysis and classification. 5 (3), pp. 231-246. | [R package] |

2010 | Husson, 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] |

2009 | Josse, 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] |

2008 | Josse, 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] |

2008 | Lê 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] |