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Eugen Pircalabelu
Eugen Pircalabelu
Assistant professor in Statistics, ISBA, LIDAM, UCLouvain
Verified email at uclouvain.be - Homepage
Title
Cited by
Cited by
Year
Community-based group graphical lasso
E Pircalabelu, G Claeskens
Journal of Machine Learning Research 21 (64), 1-32, 2020
152020
A focused information criterion for graphical models in fMRI connectivity with high-dimensional data
E Pircalabelu, G Claeskens, S Jahfari, LJ Waldorp
152015
Copula directed acyclic graphs
E Pircalabelu, G Claeskens, I Gijbels
Statistics and Computing 27, 55-78, 2017
132017
Copula directed acyclic graphs
E Pircalabelu, G Claeskens, I Gijbels
Statistics and Computing 27, 55-78, 2017
132017
Mixed scale joint graphical lasso
E Pircalabelu, G Claeskens, LJ Waldorp
Biostatistics 17 (4), 793-806, 2016
112016
A focused information criterion for graphical models
E Pircalabelu, G Claeskens, L Waldorp
Statistics and Computing 25, 1071-1092, 2015
102015
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
72015
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models
E Nezakati, E Pircalabelu
Statistics and Computing 33 (2), 47, 2023
62023
Focused model selection for social networks
E Pircalabelu, G Claeskens
Social Networks 46, 76-86, 2016
42016
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
22024
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
22023
Graph informed sliced inverse regression
E Pircalabelu, A Artemiou
Computational Statistics & Data Analysis 164, 107302, 2021
22021
Unsupervised topic modeling for short documents
O Liessens, E Pircalabelu
Facult e des sciences, Universit e catholique de Louvain Prom.: Pircalabelu …, 2021
22021
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
22020
Structure learning using a focused information criterion in graphical models
E Pircalabelu, G Claeskens, L Waldorp
Available at SSRN 2165276, 2012
22012
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
12024
Directional false discovery rate control via debiased and distributed procedures in Gaussian graphical models
E Nezakati, E Pircalabelu
LIDAM Discussion Papers ISBA, 2023
12023
High-dimensional sufficient dimension reduction through principal projections
E Pircalabelu, A Artemiou
Electronic Journal of Statistics 16 (1), 1804-1830, 2022
12022
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
12021
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
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