6 citations · 11 across the 5 of their papers we have counts for
7 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…