1 citations · 1 across the 3 of their papers we have counts for
4 papers
A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats
C. Denis, E. Lebarbier, C. Lévy-Leduc +2
Motivated by an application to the clustering of milking kinetics of dairy goats, we propose in this paper a novel approach for functional data clustering. This issue is of growing…
Variable selection in multivariate linear models with high-dimensional covariance matrix estimation
Marie Perrot-Dockès, Céline Lévy-Leduc, Laure Sansonnet +1
In this paper, we propose a novel variable selection approach in the framework of multivariate linear models taking into account the dependence that may exist between the responses…
Fast Detection of Block Boundaries in Block Wise Constant Matrices: An Application to HiC data
Vincent Brault, Julien Chiquet, Céline Lévy-Leduc
We propose a novel approach for estimating the location of block boundaries (change-points) in a random matrix consisting of a block wise constant matrix observed in white noise. O…
Robust Retrospective Multiple Change-point Estimation for Multivariate Data
Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé
We propose a non-parametric statistical procedure for detecting multiple change-points in multidimensional signals. The method is based on a test statistic that generalizes the wel…