activity
20102024
most citedKernel density estimation for directional-linear data

77 citations · 133 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2024

A new test for assessing the covariate effect in ROC curves

Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Wenceslao González-Manteiga

The ROC curve is a statistical tool that analyses the accuracy of a diagnostic test in which a variable is used to decide whether an individual is healthy or not. Along with that d…

stat.ME2020

A robust approach for ROC curves with covariates

Ana M. Bianco, Graciela Boente, Wenceslao Gonzalez-Manteiga

The Receiver Operating Characteristic (ROC) curve is a useful tool that measures the discriminating power of a continuous variable or the accuracy of a pharmaceutical or medical te…

stat.ME2018

Variable selection in Functional Additive Regression Models

Manuel Febrero-Bande, Wenceslao González-Manteiga, Manuel Oviedo de la Fuente

This paper considers the problem of variable selection in regression models in the case of functional variables that may be mixed with other type of variables (scalar, multivariate…

stat.ME2015★ 22 cited

A lack-of-fit test for quantile regression models with high-dimensional covariates

Mercedes Conde-Amboage, César Sánchez-Sellero, Wenceslao González-Manteiga

We propose a new lack-of-fit test for quantile regression models that is suitable even with high-dimensional covariates. The test is based on the cumulative sum of residuals with r…

stat.ME2013★ 33 cited

A test for directional-linear independence, with applications to wildfire orientation and size

Eduardo García-Portugués, Ana M. G. Barros, Rosa M. Crujeiras +2

The relation between wildfire orientation and size is analyzed by means of a nonparametric test for directional-linear independence. The test statistic is designed for assessing th…

stat.ME2012★ 77 cited

Kernel density estimation for directional-linear data

Eduardo García-Portugués, Rosa M. Crujeiras, Wenceslao González-Manteiga

A nonparametric kernel density estimator for directional-linear data is introduced. The proposal is based on a product kernel accounting for the different nature of both (direction…

math.ST2010★ 1 cited

Partially linear models on Riemannian manifolds

Wenceslao Gonzalez-Manteiga, Guillermo Henry, Daniela Rodriguez

In partially linear models the dependence of the response y on (x^T,t) is modeled through the relationship y=\x^T β+g(t)+ε where εis independent of (x^T,t). In this paper, estimato…