65 citations · 204 across the 14 of their papers we have counts for
15 papers
Kernel-based independence and mean independence tests for weakly dependent data
Daniel Diz-Castro, Manuel Febrero-Bande, Wenceslao González-Manteiga
We provide a unified framework for independence and mean independence tests based on the Hilbert-Schmidt independence criterion, extending some previous results in the literature t…
A review of goodness-of-fit tests for models involving functional data
Wenceslao González-Manteiga, Rosa M. Crujeiras, Eduardo García-Portugués
A sizable amount of goodness-of-fit tests involving functional data have appeared in the last decade. We provide a relatively compact revision of most of these contributions, withi…
A critical review of LASSO and its derivatives for variable selection under dependence among covariates
Laura Freijeiro-González, Manuel Febrero-Bande, Wenceslao González-Manteiga
We study the limitations of the well known LASSO regression as a variable selector when there exists dependence structures among covariates. We analyze both the classic situation w…
Nonparametric independence tests in metric spaces: What is known and what is not
Fernando Castro-Prado, Wenceslao González-Manteiga
Distance correlation is a recent extension of Pearson's correlation, that characterises general statistical independence between Euclidean-space-valued random variables, not only l…
Goodness-of-fit tests for functional linear models based on integrated projections
Eduardo García-Portugués, Javier Álvarez-Liébana, Gonzalo Álvarez-Pérez +1
Functional linear models are one of the most fundamental tools to assess the relation between two random variables of a functional or scalar nature. This contribution proposes a go…
Robust location estimators in regression models with covariates and responses missing at random
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga +1
This paper deals with robust marginal estimation under a general regression model when missing data occur in the response and also in some of covariates. The target is a marginal l…
A goodness-of-fit test for the functional linear model with functional response
Eduardo García-Portugués, Javier Álvarez-Liébana, Gonzalo Álvarez-Pérez +1
The Functional Linear Model with Functional Response (FLMFR) is one of the most fundamental models to assess the relation between two functional random variables. In this paper, we…
Smoothing-based tests with directional random variables
Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga
Testing procedures for assessing specific parametric model forms, or for checking the plausibility of simplifying assumptions, play a central role in the mathematical treatment of…
Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes
Juan A. Cuesta-Albertos, Eduardo García-Portugués, Manuel Febrero-Bande +1
We consider marked empirical processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests for the functional linear model with scalar response.…
Testing parametric models in linear-directional regression
Eduardo García-Portugués, Ingrid Van Keilegom, Rosa M. Crujeiras +1
This paper presents a goodness-of-fit test for parametric regression models with scalar response and directional predictor, that is, a vector on a sphere of arbitrary dimension. Th…
A comparative simulation study of data-driven methods for estimating density level sets
Paula Saavedra-Nieves, Wenceslao González-Manteiga, Alberto Rodríguez-Casal
Density level sets are mainly estimated using one of three methodologies: plug-in, excess mass, or a hybrid approach. The plug-in methods are based on replacing the unknown density…
Central limit theorems for directional and linear random variables with applications
Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga
A central limit theorem for the integrated squared error of the directional-linear kernel density estimator is established. The result enables the construction and analysis of two…
Bootstrap independence test for functional linear models
Wenceslao González-Manteiga, Gil González-Rodríguez, Adela Martínez-Calvo +1
Functional data have been the subject of many research works over the last years. Functional regression is one of the most discussed issues. Specifically, significant advances have…
Exploring wind direction and SO2 concentration by circular-linear density estimation
Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga
The study of environmental problems usually requires the description of variables with different nature and the assessment of relations between them. In this work, an algorithm for…
A goodness-of-fit test for the functional linear model with scalar response
Eduardo García-Portugués, Wenceslao González-Manteiga, Manuel Febrero-Bande
In this work, a goodness-of-fit test for the null hypothesis of a functional linear model with scalar response is proposed. The test is based on a generalization to the functional…