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20172026
most citedGoodness-of-fit tests for functional linear models based on integrated projections

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

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8 papers · 1 filter

stat.ME2026

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…

stat.ME2021

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…

stat.ME2020

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…

stat.ME2020★ 6 cited

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…

stat.ME2020

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…

stat.ME2019

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…