5 papers
Guidelines for LASSO and derivatives use under different dependence and scale structures
Laura Freijeiro-González, Manuel Febrero-Bande, Wenceslao González-Manteiga
In a multivariate linear regression model with covariates, implementation of penalization techniques often implies a preliminary univariate standardization step. Although thi…
A kernel-based framework for covariate significance tests in nonparametric regression
Daniel Diz-Castro, Manuel Febrero-Bande, Wenceslao González-Manteiga
It is well known that nonparametric regression estimation and inference procedures are subject to the curse of dimensionality. Moreover, model interpretability usually decreases wi…
Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
Ana M. Bianco, Graciela Boente, Wenceslao González--Manteiga +2
Statistical analysis on compositional data has gained a lot of attention due to their great potential of applications. A feature of these data is that they are multivariate vectors…
Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
Fernando Castro-Prado, Wenceslao González-Manteiga, Javier Costas +2
Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are stati…
Estimators for covariate-adjusted ROC curves with missing biomarkers values
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga +1
In this paper, we present three estimators of the ROC curve when missing observations arise among the biomarkers. Two of the procedures assume that we have covariates that allow to…