activity
20122025
most citedMode testing, critical bandwidth and excess mass

125 citations · 451 across the 26 of their papers we have counts for

collaborators

28 papers

math.ST2025

Long range dependence spectral testing from discretely observed functional time series in manifolds

M. D. Ruiz-Medina, R. M. Crujeiras

A specification test for long range dependence (LRD) in functional time series in manifolds has been formulated in \cite{Ruiz-MedinaCrujeiras24} in the spectral domain for fully ob…

stat.ME2025

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…

math.ST2024

Testing LRD in the spectral domain for functional time series in manifolds

M. D. Ruiz-Medina, R. M. Crujeiras

A statistical hypothesis test for long range dependence (LRD) is formulated in the spectral domain for functional time series in manifolds. The elements of the spectral density ope…

stat.ME2024★ 1 cited

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…

math.ST2024

Granulometric Smoothing on Manifolds

Diego Bolón, Rosa M. Crujeiras, Alberto Rodríguez-Casal

Given a random sample from a density function supported on a manifold , a new method for the estimating highest density regions of the underlying population is introduced. The n…

stat.ME2024★ 8 cited

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…

stat.ME2024★ 6 cited

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…

stat.AP2024

Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data

Ángel López-Oriona, Ying Sun, Rosa M. Crujeiras

Time series clustering is an essential machine learning task with applications in many disciplines. While the majority of the methods focus on time series taking values on the real…

stat.ME2022

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…

stat.ME2022

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…

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★ 6 cited

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…

stat.ME2020

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…

stat.ME2020★ 1 cited

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…

stat.ME2020

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…

stat.ME2020

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…

stat.AP2019★ 6 cited

Nonparametric tests for circular regression

María Alonso-Pena, Jose Ameijeiras-Alonso, Rosa M. Crujeiras

No matter the nature of the response and/or explanatory variables in a regression model, some basic issues such as the existence of an effect of the predictor on the response, or t…

stat.AP2018★ 10 cited

Fire seasonality identification with multimodality tests

Jose Ameijeiras-Alonso, Akli Benali, Rosa M. Crujeiras +2

Understanding the role of vegetation fires in the Earth system has become an important environmental problem. Although fires time occurrence is mainly influenced by climate, human…

stat.ME2018★ 3 cited

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…

stat.CO2018★ 112 cited

Multimode: An R Package for Mode Assessment

Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal

In several applied fields, multimodality assessment is a crucial task as a previous exploratory tool or for determining the suitability of certain distributions. The goal of this p…

stat.ME2016★ 125 cited

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…

stat.ME2014★ 19 cited

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…

stat.ME2014★ 6 cited

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…

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…