21 citations · 28 across the 3 of their papers we have counts for
4 papers · 1 filter
Fast Partial Quantile Regression
Alvaro Mendez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
Partial least squares (PLS) is a dimensionality reduction technique used as an alternative to ordinary least squares (OLS) in situations where the data is colinear or high dimensio…
Adaptive sparse group LASSO in quantile regression
Ãlvaro Méndez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
This paper studies the introduction of sparse group LASSO (SGL) to the quantile regression framework. Additionally, a more flexible version, an adaptive SGL is proposed based on th…
Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
Pilar González-Barquero, Rosa E. Lillo, Ãlvaro Méndez-Civieta
In high-dimensional survival analysis, effective variable selection is crucial for both model interpretation and predictive performance. This paper investigates Cox regression with…
Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality
Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo
With the rapid growth of data generation, advancements in functional data analysis (FDA) have become essential, especially for approaches that handle multiple variables at the same…