125 citations · 451 across the 26 of their papers we have counts for
20 papers · 1 filter
Nonparametric modal regression with missing response observations
Ana Pérez-González, Tomás R. Cotos-Yáñez, Rosa M. Crujeiras
Modal regression has emerged as a flexible alternative to classical regression models when the conditional mean or median are unable to adequately capture the underlying relation b…
A likelihood ratio test for circular multimodality
Diego Bolón, Rosa M. Crujeiras, Alberto Rodríguez-Casal
The modes of a statistical population are high frequency points around which most of the probability mass is accumulated. For the particular case of circular densities, we address…
A goodness-of-fit test for regression models with spatially correlated errors
Andrea Meilán-Vila, Jean D. Opsomer, Mario Francisco-Fernández +1
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -d…
Nonparametric estimation of circular trend surfaces with application to wave directions
Andrea Meilán-Vila, Rosa M. Crujeiras, Mario Francisco-Fernández
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave ana…
A general framework for circular local likelihood regression
María Alonso-Pena, Irène Gijbels, Rosa M. Crujeiras
This paper presents a general framework for the estimation of regression models with circular covariates, where the conditional distribution of the response given the covariate can…
A flexible functional-circular regression model for analyzing temperature curves
Andrea Meilán-Vila, Rosa M. Crujeiras, Mario Francisco-Fernández
Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an At…
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…
Nonparametric multimodal regression for circular data
María Alonso-Pena, Rosa M. Crujeiras
Multimodal regression estimation methods are introduced for regression models involving circular response and/or covariate. The regression estimators are based on the maximization…
Nonparametric estimation of directional highest density regions
Paula Saavedra-Nieves, Rosa María Crujeiras
Reconstruction of sets from a random sample of points intimately related to them is the goal of set estimation theory. Within this context, a particular problem is the one related…
Goodness-of-fit tests for parametric regression models with circular response
Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras
Testing procedures for assessing a parametric regression model with circular response and -valued covariate are proposed and analyzed in this work both for independen…
A computational validation for nonparametric assessment of spatial trends
Andrea Meilán-Vila, Rubén Fernández-Casal, Rosa M. Crujeiras Mario Francisco-Fernández
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and th…
Nonparametric multivariate regression estimation for circular responses
Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras +1
Nonparametric estimators of a regression function with circular response and Rd-valued predictor are considered in this work. Local polynomial type estimators are proposed and stud…
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…
Mode testing, critical bandwidth and excess mass
Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal
The identification of peaks or maxima in probability densities, by mode testing or bump hunting, has become an important problem in applied fields. This task has been approached in…
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…
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…
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…
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…
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 plug-in rule for bandwidth selection in circular density estimation
M. Oliveira, R. M. Crujeiras, A. Rodríguez-Casal
A new plug-in rule procedure for bandwidth selection in kernel circular density estimation is introduced. The performance of this proposal is checked throughout a simulation study…