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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 ...
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 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...