Listar GI-MODES - Congresos, conferencias, etc. por data de publicación
Mostrando ítems 1-17 de 17
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Nonparametric Inference in Mixture Cure Models
(MDPI, 2018-09)[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ... -
Testing goodness-of-fit of parametric spatial Trends
(M D P I AG, 2018-09-17)[Abstract] The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors. The asymptotic behavior under ... -
Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation
(M D P I AG, 2018-09-17)[Abstract] Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric ... -
Sparse Semi-Functional Partial Linear Single-Index Regression
(M D P I AG, 2018-09-17)[Abstract] The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure ... -
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 ... -
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings
(2019)[Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ... -
Fast Algorithm for Impact Point Selection in Semiparametric Functional Models
(M D P I AG, 2019-07-31)[Abstract] A new sparse semiparametric functional model is proposed, which tries to incorporate the influence of two functional variables in a scalar response in a quite simple and interpretable way. One of the functional ... -
Nonparametric Regression Estimation for Circular Data
(M D P I AG, 2019-07-31)[Abstract] Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate ... -
Bandwidth Selection for Prediction in Regression
(M D P I AG, 2019-08-05)[Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then ... -
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 ... -
Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator
(MDPI, 2021)[Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean ... -
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 ... -
Robust Methods for Soft Clustering of Multidimensional Time Series
(MDPI, 2021)[Abstract] Three robust algorithms for clustering multidimensional time series from the perspective of underlying processes are proposed. The methods are robust extensions of a fuzzy C-means model based on estimates of the ... -
Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available
(MDPI, 2021)[Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure model when the cure status is partially known. For the ... -
Installing Green Artificial Reefs: A Sustainable Challenge
(European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ),, 2021-09)[Abstract] Green Artificial Reefs (GARs) are marine structures to exploit sea resources in a sustainable way (produce food resources, improve the tourism, etc.). They should be installed on the seabed, process that is ... -
The Bootstrap for Testing the Equality of Two Multivariate Stochastic Processes with an Application to Financial Markets
(MDPI, 2022)[Abstract] The problem of testing the equality of generating processes of two multivariate time series is addressed in this work. To this end, we construct two tests based on a distance measure between stochastic processes. ... -
Unsupervised classification of categorical time series through innovative distances
(Avestia Publishing, 2022)[Abstract]: In this paper, two novel distances for nominal time series are introduced. Both of them are based on features describing the serial dependence patterns between each pair of categories. The first dissimilarity ...
