Listar Modelización, Optimización e Inferencia Estadística (MODES) por título
Mostrando ítems 1-20 de 162
-
3D Point Cloud Semantic Segmentation Through Functional Data Analysis
(Springer, 2023)[Abstract]: Here, we propose a method for the semantic segmentation of 3D point clouds based on functional data analysis. For each point of a training set, a number of handcrafted features representing the local geometry ... -
A Bi-Objective Scheduling Problem in a Home Care Business
(MDPI, 2021)[Abstract] In this work we study a routing and scheduling problem for a home care business. The problem is composed of two conflicting objectives, therefore we study it as a bi-objective one. We obtain the Pareto frontier ... -
A cardiotoxicity dataset for breast cancer patients
(Nature Research, 2023)[Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ... -
A computational validation for nonparametric assessment of spatial trends
(2021)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 the small-scale variation. Parametric trend ... -
A distance correlation approach for optimum multiscale selection in 3D point cloud classification
(2021)[Abstract] Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to ... -
A Doubly Smoothed PD Estimator in Credit Risk
(MDPI AG, 2020-09-01)[Abstract] In this work a doubly smoothed probability of default (PD) estimator is proposed based on a smoothed version of the survival Beran’s estimator. The asymptotic properties of both the smoothed survival and PD ... -
A goodness-of-fit test for regression models with spatially correlated errors
(2020)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 -distance comparing a parametric and nonparametric ... -
A heuristic approach to the task planning problem in a home care business
(Springer, 2020-12)[Abstract]: In this paper, we study a task scheduling problem in a home care business. The company has a set of supervisors in charge of scheduling the caregivers’ weekly plans. This can be a time-consuming task due to the ... -
A Logistic Approach for Kinetics of Isothermal Pyrolysis of Cellulose
(MDPI, 2021-03)[Abstract] A kinetic model is proposed to fit isothermal thermogravimetric data obtained from cellulose in an inert atmosphere at different temperatures. The method used here to evaluate the model involves two steps: (1) ... -
A New Approach to the Gender Pay Gap Decomposition by Economic Activity
(Oxford University Press, 2022-01)[Abstract]: The aim of this paper is to present an original approach to estimate the gender pay gap (GPG). We propose a model-based decomposition, similar to the most popular approaches, where the first component measures ... -
A Nonparametric Bootstrap Method for Heteroscedastic Functional Data
(Springer, 2024-03)[Absctract]: The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations of a continuous one-dimensional process. The process is assumed to be nonstationary, ... -
A posteriori error analysis of an augmented mixed formulation in linear elasticity with mixed and Dirichlet boundary conditions
(Elsevier BV, 2011-01)[Abstract] We develop a residual-based a posteriori error analysis for the augmented mixed methods introduced in and for the problem of linear elasticity in the plane. We prove that the proposed a posteriori error estimators ... -
A Product-Limit Estimator of the Conditional Survival Function When Cure Status Is Partially Known
(Wiley, 2021-03-01)[Abstract] We introduce a nonparametric estimator of the conditional survival function in the mixture cure model for right-censored data when cure status is partially known. The estimator is developed for the setting of a ... -
A Task Planning Problem in a Home Care Business
(MDPI AG, 2018-09-19)[Abstract] This work focuses on the study of a task planning problem in a home care business. The objective is to schedule the working days of the available nurses, in order to assist all the active clients. Due to the ... -
Altered pathways in methylome and transcriptome longitudinal analysis of normal weight and bariatric surgery women
(NLM (Medline), 2020-04-15)[Abstract] DNA methylation could provide a link between environmental, genetic factors and weight control and can modify gene expression pattern. This study aimed to identify genes, which are differentially expressed and ... -
An Adaptive Large Neighbourhood Search algorithm for a real-world Home Care Scheduling Problem with time windows and dynamic breaks
(Elsevier Ltd, 2023-11)[Abstract]: This paper presents a Home Care Scheduling Problem (from now on HCSP) based on a real case of a care company for elderly and dependent people located in the North of Spain. The problem incorporates many of the ... -
An introduction to quadrature and other numerical integration techniques
(Wiley, 2007)The objective in numerical integration is the approximation of a definite integral using numerical techniques. There are a large number of numerical integration methods in the literature and this article overviews some of ... -
Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
(John Wiley & Sons Ltd., 2019-09-13)[Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ... -
Analyzing categorical time series with the R package ctsfeatures
(Elsevier B.V., 2024-03)[Absctract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with real-valued time series, categorical time series have received much less attention. However, the development of ... -
Application of residuals from purification of bivalve molluscs in Galician to facilitate marine ecosystem resiliency through artificial reefs with shells – One generation
(Elsevier, 2023-01-15)[Abstract] The seas and oceans of the planet provide a wide range of essential resources. However, marine ecosystems are undergoing severe degradation due to the unsustainable exploitation and consumption patterns of the ...
