Now showing items 1-20 of 36

    • A distance correlation approach for optimum multiscale selection in 3D point cloud classification 

      Oviedo de la Fuente, Manuel; Cabo, Carlos; Ordóñez, Celestino; Roca-Pardiñas, Javier (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 Logistic Approach for Kinetics of Isothermal Pyrolysis of Cellulose 

      López-Beceiro, Jorge; Díaz-Díaz, Ana-María; Álvarez García, Ana; Tarrío-Saavedra, Javier; Naya, Salvador; Artiaga, Ramón (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 posteriori error analysis of an augmented mixed formulation in linear elasticity with mixed and Dirichlet boundary conditions 

      González Taboada, María; Barrios, Tomás P.; Behrens, Edwin M. (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 ...
    • Altered pathways in methylome and transcriptome longitudinal analysis of normal weight and bariatric surgery women 

      Nicoletti, C. F.; Pinhel, M.A.S.; Noronha, N.Y.; de Oliveira, B.A.; Salgado Junior, W.; Jácome, A.; Díaz-Lagares, A.; Casanueva, F.; Crujeiras, A. B.; Nonino., C. B. (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 introduction to quadrature and other numerical integration techniques 

      Ausín, M. Concepción (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 

      Barreiro-Ures, Daniel; Francisco-Fernández, Mario; Cao, Ricardo; Fraguela, Basilio B.; Doallo, Ramón; González-Andújar, José Luis; Reyes, Miguel (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). ...
    • Asymptotic properties of Local Polynomial regression with missing data and correlated errors 

      Pérez González, A.; Vilar, Juan M.; González Manteiga, Wenceslao (2007)
      The main objective of this work is the nonparametric estimation of the regression function with correlated errors when observations are missing in the response variable. Two nonparametric estimators of the regression ...
    • Bancos y cajas de ahorros: modelización del margen de beneficio por regresión múltiple: análisis comparativo 

      Vasallo Rapela, Alejandro M.; Vilar, Juan M. (2006)
      Este trabajo desarrolla un modelo teórico que relaciona el margen de beneficio de las entidades financieras con variables estratégicas clave relativas a su tamaño (cuotas de mercado de depósitos y de préstamos) y variables ...
    • Bayesian control of the number of servers in a GI/M/c queueing system 

      Ausín, M. Concepción; Lillo, Rosa E.; Wiper, Michael P. (Elsevier, 2007)
      In this paper we consider the problem of designing a GI/M/c queueing system. Given arrival and service data, our objective is to choose the optimal number of servers so as to minimize an expected cost function which depends ...
    • Bayesian estimation for the M/G/1 queue using a phase-type approximation 

      Ausín, M. Concepción; Wiper, Michael P.; Lillo, Rosa E. (Elsevier, 2004)
      This article deals with Bayesian inference and prediction for M/G/1 queueing systems. The general service time density is approximated with a class of Erlang mixtures which are phase-type distributions. Given this phase-type ...
    • Bayesian estimation of ruin probabilities with heterogeneous and heavy-tailed insurance claim size distribution 

      Ausín, M. Concepción; Lopes, Hedibert F. (2007-08-09)
      This paper describes a Bayesian approach to make inference for risk reserve processes with unknown claim size distribution. A flexible model based on mixtures of Erlang distributions is proposed to approximate the special ...
    • Bayesian estimation of the Gaussian mixture GARCH model 

      Ausín, M. Concepción; Galeano, Pedro (Elsevier, 2007)
      Bayesian inference and prediction for a generalized autoregressive conditional heteroskedastic (GARCH) model where the innovations are assumed to follow a mixture of two Gaussian distributions is performed. The mixture ...
    • Bayesian prediction of the transient behaviour and busy period in short and long-tailed GI/G/1 queueing systems 

      Ausín, M. Concepción; Wiper, Michael P.; Lillo, Rosa E. (Elsevier, 2007)
      Bayesian inference for the transient behavior and duration of a busy period in a single server queueing system with general, unknown distributions for the interarrival and service times is investigated. Both the interarrival ...
    • Big-But-Biased Data Analytics for Air Quality 

      Borrajo, Laura; Cao, Ricardo (MDPI AG, 2020-09-22)
      [Abstract] Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ...
    • Bootstrap tests for nonparametric comparison of regression curves with dependent errors 

      Vilar, Juan M.; Vilar, José (Springer, 2007)
      In this paper, the problem of testing the equality of regression curves with dependent data is studied. Several methods based on nonparametric estimators of the regression function are described. In this setting, the ...
    • Burned area prediction with semiparametric models 

      Lombardía, María José; Boubeta, Miguel; González Manteiga, Wenceslao; Marey Pérez, Manuel Francisco (CSIRO Publishing, 2016-04-27)
      [Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ...
    • Characterizing the Invasive Tumor Front of Aggressive Uterine Adenocarcinoma and Leiomyosarcoma 

      Sanegre, Sabina; Eritja, Núria; Andrea, Carlos de; Díaz-Martín, Juan; Díaz-Lagares, Ángel; Jácome, María Amalia; Salguero Aranda, Carmen; García-Ros, David; Davidson, Ben; López-López, Rafael; Melero, Ignacio; Navarro, Samuel; Ramón y Cajal, Santiago; Alava, Enrique de; Matias-Guiu, Xavier; Noguera, Rosa (Frontiers, 2021)
      [Abstract] The invasive tumor front (the tumor–host interface) is vitally important in malignant cell progression and metastasis. Tumor cell interactions with resident and infiltrating host cells and with the surrounding ...
    • Constructing a Control Chart Using Functional Data 

      Flores, Miguel; Naya, Salvador; Fernández-Casal, Rubén; Zaragoza, Sonia; Raña, Paula; Tarrío-Saavedra, Javier (M D P I AG, 2020-01-02)
      [Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...
    • Cooperation on capacitated inventory situations with fixed holding costs 

      Fiestras Janeiro, María Gloria; García Jurado, Ignacio; Meca Martínez, Ana; Mosquera Rodríguez, Manuel Alfredo (Elsevier, 2015-03-16)
      [Abstract] In this paper we analyze a situation in which several firms deal with inventory problems concerning the same type of product. We consider that each firm uses its limited capacity warehouse for storing purposes ...
    • Empirical best prediction under area-level Poisson mixed models 

      Boubeta, Miguel; Lombardía, María José; Morales, Domingo (Springer, 2015-12-19)
      [Abstract] The paper studies the applicability of area-level Poisson mixed models to estimate small area counting indicators. Among the available procedures for fitting generalized linear models, the method of moments (MM) ...