Recent Submissions

  • A Bi-Objective Scheduling Problem in a Home Care Business 

    Méndez-Fernández, Isabel; Lorenzo Freire, Silvia; González Rueda, Ángel Manuel (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 ...
  • Installing Green Artificial Reefs: A Sustainable Challenge 

    Munín-Doce, Alicia; Castro-Santos, Laura; Carral Couce, Luis; Cartelle Barros, Juan José; Camba, C.; Tarrío-Saavedra, Javier (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 ...
  • Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available 

    Clarence Safari, Wende; López-de-Ullibarri, Ignacio; Jácome, María Amalia (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 ...
  • Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator 

    Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (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 ...
  • Robust Methods for Soft Clustering of Multidimensional Time Series 

    López-Oriona, Ángel; D'Urso, Pierpaolo; Vilar, José; Lafuente Rego, Borja Raúl (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 ...

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