14 citations · 19 across the 5 of their papers we have counts for
7 papers
Empirical Bayes approaches to PageRank type algorithms for rating scientific journals
Jean-Louis Foulley, Gilles Celeux, Julie Josse
Following criticisms against the journal Impact Factor, new journal influence scores have been developed such as the Eigenfactor or the Prestige Scimago Journal Rank. They are base…
Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig
Gilles Celeux, Jack Jewson, Julie Josse +2
This note is a collection of several discussions of the paper "Beyond subjective and objective in statistics", read by A. Gelman and C. Hennig to the Royal Statistical Society on A…
Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood
Piotr Sobczyk, Malgorzata Bogdan, Julie Josse
We discuss the problem of estimating the number of principal components in Principal Com- ponents Analysis (PCA). Despite of the importance of the problem and the multitude of solu…
Multiple Correspondence Analysis & the Multilogit Bilinear Model
William Fithian, Julie Josse
Multiple Correspondence Analysis (MCA) is a dimension reduction method which plays a large role in the analysis of tables with categorical nominal variables such as survey data. Th…
Multinomial Multiple Correspondence Analysis
Patrick J. F. Groenen, Julie Josse
Relations between categorical variables can be analyzed conveniently by multiple correspondence analysis (MCA). %It is well suited to discover relations that may exist between cate…
MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis
Vincent Audigier, François Husson, Julie Josse
We propose a multiple imputation method to deal with incomplete categorical data. This method imputes the missing entries using the principal components method dedicated to categor…