39 citations · 52 across the 13 of their papers we have counts for
13 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…
Testing for linearity in scalar-on-function regression with responses missing at random
Manuel Febrero-Bande, Pedro Galeano, Eduardo García-Portugués +1
A goodness-of-fit test for the Functional Linear Model with Scalar Response (FLMSR) with responses Missing at Random (MAR) is proposed in this paper. The test statistic relies on a…
Testing the goodness-of-fit of a functional autoregressive model
W. González-Manteiga, M. D. Ruiz-Medina, M. Febrero-Bande
The proposed Goodness--of--Fit (GoF) test for checking the linear autocorrelation model in a functional time series is based on an empirical process, whose residual marks and covar…
Estimation and Specification Test for Diffusion Models with Stochastic Volatility
Alejandra López-Pérez, Manuel Febrero-Bande, Wenceslao González-Manteiga
Given the importance of continuous-time stochastic volatility models to describe the dynamics of interest rates, we propose a goodness-of-fit test for the parametric form of the dr…
Novel specification tests for additive concurrent model formulation based on martingale difference divergence
Laura Freijeiro-González, Manuel Febrero-Bande, Wenceslao González-Manteiga
Novel significance tests are proposed for the quite general additive concurrent model formulation without the need of model, error structure preliminary estimation or the use of tu…
Functional Classification of Bitcoin Addresses
Manuel Febrero-Bande, Wenceslao González-Manteiga, Brenda Prallon +1
This paper proposes a classification model for predicting the main activity of bitcoin addresses based on their balances. Since the balances are functions of time, we apply methods…
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…
A test for comparing conditional ROC curves with multidimensional covariates
Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Ingrid Van Keilegom +1
The comparison of Receiver Operating Characteristic (ROC) curves is frequently used in the literature to compare the discriminatory capability of different classification procedure…
Testing for genetic interactions in complex disease with distance correlation
Fernando Castro-Prado, Javier Costas, Dominic Edelmann +2
Understanding epistasis (genetic interaction) may shed some light on the genomic basis of common diseases, including disorders of maximum interest due to their high socioeconomic b…
Bandwidth selection for kernel density estimation with length-biased data
María Isabel Borrajo, Wenceslao González-Manteiga, María Dolores Martínez-Miranda
Length-biased data are a particular case of weighted data, which arise in many situations: biomedicine, quality control or epidemiology among others. In this paper we study the the…