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Scientific articles

Batzelis, E., Blanes, J.M., Toledo, F.J., Galiano, V. (2022) "Noise-Scaled Euclidean Distance: A Metric for Maximum Likelihood Estimation of the PV Model Parameters", IEEE Journal of Photovoltaics, 12 (3):815–826

Efstratios Batzelis (University of Southampton), José M. Blanes, Francisco Javier Toledo and Vicente Galiano (Universidad Miguel Hernandez de Elche) 
Abstract: This article revisits the objective function (or metric) used in the extraction of photovoltaic (PV) model parameters. A theoretical investigation shows that the widely used current distance (CD) metric does not yield the maximum likelihood estimates […]

By salonso, ago

Morales, D., Krause, J., Burgard, J.P. (2022) "On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence", Psychometrika, 87 (1):344–368

Domingo Morales (Operations Research Center, University Miguel Hernández of Elche) and Joscha Krause, Jan Pablo Burgard (Department of Economic and Social Statistics, Trier University) 
Abstract: Major depression is a severe mental disorder that is associated with strongly increased mortality. The quantification of its prevalence on regional levels represents an important indicator for public health reporting. In […]

By salonso, ago

Caballero, R., Marín-Rubio, P., Valero, J. (2022) «Existence and Characterization of Attractors for a Nonlocal Reaction–Diffusion Equation with an Energy Functional», Journal of Dynamics and Differential Equations, 34 (1):443–480

Rubén Caballero, José Valero (Centro de Investigación Operativa, Universidad Miguel Hernandez de Elche) and Pedro Marín (Dpto. Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla)
Abstract: In this paper we study a nonlocal reaction–diffusion equation in which the diffusion depends on the gradient of the solution. Firstly, we prove the existence and uniqueness of regular and […]

By salonso, ago

Bernabé-Díaz, J.A., Franco, M., Vivo, J.-M., Quesada-Martínez, M., Fernández-Breis, J.T. (2022) “An automated process for supporting decisions in clustering-based data analysis”, Computer Methods and Programs in Biomedicine, 219:106765

José Antonio Bernabé-Díaz, Jesualdo T. Fernández-Breis (Dept. Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca), Manuel Franco, Juana-María Vivo (Dept. Statistics and Operations Research, University of Murcia, IMIB-Arrixaca) and Manuel Quesada (Operations Research Center, University Miguel Hernández of Elche)  
Abstract: Background and objective: Metrics are commonly used by biomedical researchers and practitioners to measure and evaluate properties […]

By salonso, ago

Álvarez, H. et al. (175) (2022) “Predictors of low-level HIV viraemia and virological failure in the era of integrase inhibitors: A Spanish nationwide cohort”, HIV Medicine, 23 (8):825–836

Hortensia Álvarez (Infectious Diseases Unit, Department of Internal Medicine, University Hospital of Ferrol, A Coruña, Spain) et al. (175)
Abstract: Objectives: To pinpoint factors associated with low-level viraemia (LLV) and virological failure (VF) in people living with HIV in the era of high-efficacy antiretroviral treatment (ART) and widespread use of integrase strand transfer inhibitor (INSTIs)-based ART. […]

By salonso, ago

Charles, V., Diaz, J., Aparicio, J. (2022) “The performance of regional governments under the results-based budgeting framework: A two-stage sectoral analysis”, RAIRO – Operations Research, 56 (2):501–508

Vincent Charles (CENTRUM Católica Graduate Business School and Pontifical Catholic University of Peru, Lima, Peru), Juan Diaz (Universidad Nacional Mayor de San Marcos, Lima, Peru) and Juan Aparicio (University Miguel Hernandez of Elche)
Abstract: The results-based budgeting (RBB) framework is a public management strategy in which economic resources are allocated to certain budget programs, oriented towards […]

By salonso, ago

Krause, J., Burgard, J.P., Morales, D. (2022) “ℓ2 -penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency”, Metrika, 85 (4):459–489

Joscha Krause, Jan Pablo Burgard (Department of Economic and Social Statistics, Trier University) and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Regional prevalence estimation requires the use of suitable statistical methods on epidemiologic data with substantial local detail. Small area estimation with medical treatment records as covariates marks a promising combination for […]

By salonso, ago

Valero-Carreras, D., Aparicio, J., Guerrero, N.M. (2022) “Multi-output Support Vector Frontiers”, Computers and Operations Research, 143:105765

Daniel Valero, Juan Aparicio and Nadia Guerrero (Operations Research Center, University Miguel Hernández of Elche)
Abstract: In this paper, we show that both Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA), which are well-known modern techniques for efficiency measurement, can be seen as particular cases of a more general model based upon Support Vector Regression […]

By salonso, ago

Aparicio, J., Perelman, S., Santín, D.. (2022) “Comparing the evolution of productivity and performance gaps in education systems through DEA: an application to Latin American countries”, Operational Research, 22 (2):1443–1477

Juan Aparicio (Operations Research Center, University Miguel Hernández of Elche), Sergio Perelman (HEC-Management School, University of Liège) and Daniel Santín (Department of Applied Economics, Public Economics and Political Economy and Complutense Institute of Economic Analysis, Complutense University of Madrid)
Abstract: The main objective of this paper is to propose a tool for measuring the productivity and […]

By salonso, ago

González, M., López-Espín, J.J., Aparicio, J., Talbi, E.-G. (2022) “A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis”, PeerJ Computer Science, 8:e828

Martín González, José Juan López, Juan Aparicio (Operations Research Center, University Miguel Hernández of Elche) and  Emna Talbi (INRIA, Université des Sciences et Technologies de Lille)
Abstract: Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models. Nowadays, metaheuristics are […]

By salonso, ago