| Adaptive sparse group LASSO in quantile regression A Mendez-Civieta, MC Aguilera-Morillo, RE Lillo Advances in Data Analysis and Classification 15 (3), 547-573, 2021 | 23 | 2021 |
| Fast partial quantile regression Á Méndez-Civieta, MC Aguilera-Morillo, RE Lillo Chemometrics and Intelligent Laboratory Systems 223, 104533, 2022 | 6 | 2022 |
| Asgl: A Python Package for Penalized Linear and Quantile Regression Á Méndez Civieta, MC Aguilera-Morillo, RE Lillo arXiv e-prints, arXiv: 2111.00472, 2021 | 3 | 2021 |
| Functional quantile principal component analysis Á Méndez-Civieta, Y Wei, KM Diaz, J Goldsmith Biostatistics, kxae040, 2024 | | 2024 |
| An Approach for Estimating Activity Distribution Surfaces F Vogel, Á Méndez Civieta, Y Wei, KM Diaz, J Goldsmith UB HSU, 2024 | | 2024 |
| Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer P González-Barquero, RE Lillo, Á Méndez-Civieta arXiv preprint arXiv:2406.19213, 2024 | | 2024 |
| Variable selection and predictive models for Big Data environments Á Méndez-Civieta, MC Aguilera-Morillo, RE Lillo | | 2022 |
| A quantile based dimension reduction technique Á Méndez Civieta, MC Aguilera Morillo, RE Lillo Rodríguez DES-Working Papers. Statistics and Econometrics. WS, 2021 | | 2021 |
| Quantile regression: a penalization approach Á Méndez Civieta, MC Aguilera Morillo, RE Lillo Rodríguez DES-Working Papers. Statistics and Econometrics. WS, 2019 | | 2019 |
ROSA ELVIRA LILLO RODRIGUEZUniversidad Carlos III de Madrid在 est-econ.uc3m.es 的电子邮件经过验证
ROSA ELVIRA LILLO RODRIGUEZUniversidad Carlos III de Madrid在 est-econ.uc3m.es 的电子邮件经过验证