Cathy Maugis-Rabusseau

Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models

Andréa Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette et al. · Bioinformatics · 2015 · 84 citations · Full text

Variable selection in model-based clustering and discriminant analysis with a regularization approach

Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki · Advances in Data Analysis and Classification · 2018 · 40 citations · Full text

Engineering, High-dimensional Method, Data Science +11

Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering

Gilles Celeux, Marie‐Laure Martin‐Magniette, Cathy Maugis-Rabusseau et al. · arXiv (Cornell University) · 2013 · 29 citations · Full text

Cluster Computing, Document Clustering, Engineering +14

Adaptive density estimation for clustering with Gaussian mixtures

Cathy Maugis-Rabusseau, Bertrand Michel · ESAIM Probability and Statistics · 2012 · 27 citations · Full text

Mixture Distribution, Engineering, Density Estimation +12

On the estimation of mixtures of Poisson regression models with large number of components

Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau · Computational Statistics & Data Analysis · 2014 · 26 citations

Mixture Distribution, Large Number, Engineering +8