| Geometry-aware maximum likelihood estimation of intrinsic dimension M Gomtsyan, N Mokrov, M Panov, Y Yanovich Asian Conference on Machine Learning, 1126-1141, 2019 | 16 | 2019 |
| Variable selection in sparse GLARMA models M Gomtsyan, C Lévy-Leduc, S Ouadah, L Sansonnet, T Blein Statistics 56 (4), 755-784, 2022 | 2 | 2022 |
| Sign consistent estimation in a sparse Poisson model M Gomtsyan, C Lévy-Leduc, S Ouadah, L Sansonnet Statistics & Probability Letters 209, 110107, 2024 | | 2024 |
| GlarmaVarSel M Gomtsyan, C Lévy-Leduc, S Ouadah, L Sansonnet | | 2023 |
| Variable selection methods in sparse GLARMA models M Gomtsyan Université Paris-Saclay, AgroParisTech, 2023 | | 2023 |
| Variable selection in a specific regression time series of counts M Gomtsyan arXiv preprint arXiv:2307.00929, 2023 | | 2023 |
| Variable selection in sparse multivariate GLARMA models: Application to germination control by environment M Gomtsyan, C Lévy-Leduc, S Ouadah, L Sansonnet, C Bailly, L Rajjou arXiv preprint arXiv:2208.14721, 2022 | | 2022 |
