| Community-based group graphical lasso E Pircalabelu, G Claeskens Journal of Machine Learning Research 21 (64), 1-32, 2020 | 16 | 2020 |
| A focused information criterion for graphical models in fMRI connectivity with high-dimensional data E Pircalabelu, G Claeskens, S Jahfari, LJ Waldorp | 15 | 2015 |
| Copula directed acyclic graphs E Pircalabelu, G Claeskens, I Gijbels Statistics and Computing 27, 55-78, 2017 | 13 | 2017 |
| Mixed scale joint graphical lasso E Pircalabelu, G Claeskens, LJ Waldorp Biostatistics 17 (4), 793-806, 2016 | 11 | 2016 |
| A focused information criterion for graphical models E Pircalabelu, G Claeskens, L Waldorp Statistics and Computing 25, 1071-1092, 2015 | 10 | 2015 |
| Constructing graphical models via the focused information criterion G Claeskens, E Pircalabelu, L Waldorp Modeling and Stochastic Learning for Forecasting in High Dimensions, 55-78, 2015 | 7 | 2015 |
| Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models E Nezakati, E Pircalabelu Statistics and Computing 33 (2), 47, 2023 | 6 | 2023 |
| Focused model selection for social networks E Pircalabelu, G Claeskens Social Networks 46, 76-86, 2016 | 4 | 2016 |
| Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting E Nezakati, E Pircalabelu Electronic Journal of Statistics 18 (1), 599-652, 2024 | 2 | 2024 |
| A spline-based time-varying reproduction number for modelling epidemiological outbreaks E Pircalabelu Journal of the Royal Statistical Society Series C: Applied Statistics 72 (3 …, 2023 | 2 | 2023 |
| Graph informed sliced inverse regression E Pircalabelu, A Artemiou Computational Statistics & Data Analysis 164, 107302, 2021 | 2 | 2021 |
| Unsupervised topic modeling for short documents O Liessens, E Pircalabelu Facult e des sciences, Universit e catholique de Louvain Prom.: Pircalabelu …, 2021 | 2 | 2021 |
| Zoom-in–out joint graphical lasso for different coarseness scales E Pircalabelu, G Claeskens, LJ Waldorp Journal of the Royal Statistical Society Series C: Applied Statistics 69 (1 …, 2020 | 2 | 2020 |
| Structure learning using a focused information criterion in graphical models E Pircalabelu, G Claeskens, L Waldorp Available at SSRN 2165276, 2012 | 2 | 2012 |
| A penalised bootstrap estimation procedure for the explained Gini coefficient A Jacquemain, C Heuchenne, E Pircalabelu Electronic Journal of Statistics 18 (1), 247-300, 2024 | 1 | 2024 |
| Directional false discovery rate control via debiased and distributed procedures in Gaussian graphical models E Nezakati, E Pircalabelu LIDAM Discussion Papers ISBA, 2023 | 1 | 2023 |
| High-dimensional sufficient dimension reduction through principal projections E Pircalabelu, A Artemiou Electronic Journal of Statistics 16 (1), 1804-1830, 2022 | 1 | 2022 |
| A lasso-type estimation for the Lorenz regression A Jacquemain, C Heuchenne, E Pircalabelu the ro eedings of the PPth iurope n oung t tisti i ns weeting, 41, 2021 | 1 | 2021 |
| Time-varying degree-corrected stochastic block models M Li, R von Sachs, E Pircalabelu | | 2024 |
| Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales E Pircalabelu, G Claeskens Journal of Computational and Graphical Statistics 32 (2), 378-387, 2023 | | 2023 |
