3 papers
stat.ME2022
Variable selection in sparse multivariate GLARMA models: Application to germination control by environment
M. Gomtsyan, C. Lévy-Leduc, S. Ouadah +3
We propose a novel and efficient iterative two-stage variable selection approach for multivariate sparse GLARMA models, which can be used for modelling multivariate discrete-valued…
stat.ME2022
Variable selection in high-dimensional logistic regression models using a whitening approach
Wencan Zhu, Céline Lévy-Leduc, Nils Ternès
In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the cen…
stat.ME2022
Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso
Wencan Zhu, Céline Lévy-Leduc, Nils Ternès
In clinical trials, identification of prognostic and predictive biomarkers is essential to precision medicine. Prognostic biomarkers can be useful for the prevention of the occurre…