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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.ME2018
Estimation of large block structured covariance matrices: Application to "multi-omic" approaches to study seed quality
Marie Perrot-Dockès, Céline Lévy-Leduc, Loïc Rajjou
Motivated by an application in high-throughput genomics and metabolomics, we propose a novel, efficient and fully data-driven approach for estimating large block structured sparse…