Listar AM - Artículos por tipo "info:eu-repo/semantics/article"
Mostrando ítems 1-20 de 68
-
A Bayesian Functional Methodology for Dengue Risk Mapping in Latin America and the Caribbean
Dengue fever has become one of the most outstanding infectious diseases in the world. Besides, the incidence and prevalence of dengue are increasing in the endemic areas of the tropical and subtropical regions. Space and ... -
A Bayesian Solution to the Behrens-Fisher problem
Girón González-Torre, F. Javier; Castillo-Vázquez, Carmen
(Springer, 2021-07)
A simple solution to the Behrens–Fisher problem based on Bayes factors is presented, and its relation with the Behrens–Fisher distribution is explored. The construction of the Bayes factor is based on a simple hierarchical ... -
A Class of Well-Balanced Algorithms for Relativistic Fluids on a Schwarzschild Background
LeFloch, Philippe G.; Parés-Madroñal, Carlos María; Pimentel García, Ernesto (SPRINGER, 2021-08-16)
For the evolution of a compressible fluid in spherical symmetry on a Schwarzschild curved background, we design a class of well-balanced numerical algorithms up to third-order accuracy. We treat both the relativistic ... -
A new proof of the characterization of the weighted Hardy inequality
Bernardis-Medici, Ana Lucía; Martín-Reyes, Francisco Javier; Ortega-Salvador, Pedro (Cambridge University Press, 2005)
Maz'ja and Sinnamon proved a characterization of the boundedness of the Hardy operator from Lp(v) into Lq(w) in the case 0 < q < p, 1 < p < ∞. We present here a new simple proof of the sufficiency part of that result. -
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, María Asunción; Morales-González, Juan Miguel; Pineda-Morente, Salvador (Elsevier, 2021)
In recent years, feature selection has become a challenging problem in several machine learning fields, such as classification problems. Support Vector Machine (SVM) is a well-known technique applied in classification ... -
A spatial functional count model for heterogeneity analysis in time
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal logGaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity ... -
An Arbitrary High Order Well-Balanced ADER-DG Numerical Scheme for the Multilayer Shallow-Water Model with Variable Density
Guerrero Fernández, Ernesto; Castro-Díaz, Manuel Jesús; Dumbser, Michael; Morales-de-Luna, Tomás (Springer, 2021-12-17)
In this work, we present a novel numerical discretization of a variable pressure multilayer shallow water model. The model can be written as a hyperbolic PDE system and allows the simulation of density driven gravity ... -
Asymptotic properties of parameter estimates for random fields with tapered data.
Alomari, Huda Mohammed; Frías, María P.; Leonenko, Nikolai; Ruiz-Medina, María D.; Sakhno, Lyudmyla; Torres-Signes, Antoni[et al.] (Institute of Mathematical Statistics, 2017)
In this paper we present novel results on the asymptotic behavior of the so-called Ibragimov minimum contrast estimates. The case of tapered data for various models of Gaussian random fields is investigated. The CLT for ... -
Automatic feature scaling and selection for support vector machine classification with functional data.
Jiménez-Cordero, María Asunción; Maldonado-Alarcón, Sebastián (Springer Nature, 2020)
Functional Data Analysis (FDA) has become a very important field in recent years due to its wide range of applications. However, there are several real-life applications in which hybrid functional data appear, i.e., data ... -
Bergman projection on Lebesgue space Induced by doubling weight
Peláez-Márquez, José Ángel; De la Rosa, Elena; Rättyä, Jouni (Springer Nature, 2023-11-28)
Let ω and ν be radial weights on the unit disc of the complex plane, and denote σ = ωp′ ν− p′ p and ωx = ∫ 1 0 sxω(s) ds for all 1 ≤ x < ∞. Consider the one-weight inequality ‖Pω (f )‖Lp ν ≤ C‖f ‖Lp ν , 1 < p < ∞, ... -
Cesàro-type operators associated with Borel measures on the unit disc acting on some Hilbert spaces of analytic functions
Galanopoulos, Petros; Girela-Álvarez, Daniel; Merchán-Álvarez, Noel (Elsevier, 2023)
Given a complex Borel measure μon the unit disc D={z∈C:|z| <1}, we consider the Cesàro-type operator Cμdefined on the space Hol(D)of all analytic functions in Das follows: If f∈Hol(D), f(z) = ∞n=0anzn(z∈D), then Cμ(f)(z) ... -
Convergence in the Cesàro sense of ergodic operators associated with a flow.
We study the a.e. convergence ofthe Ceshro-(1 +c) ergodic averages and the a.e. existence in the Ceso-u sense ofthe ergodic Hilbert transform associated with a Cesobounded flow and < c < 0. -
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning.
Torres-Signes, Antoni; Frías, María P.; Ruiz-Medina, María D. (2021-03-19)
A multiple objective space-time forecasting approach is presented involving cyclical curve log-regression, and multivariate time series spatial residual correlation analysis. Specifically, the mean quadratic loss function ... -
Data-Driven Screening of Network Constraints for Unit Commitment
Pineda-Morente, Salvador; Morales-González, Juan Miguel; Jiménez-Cordero, María Asunción (IEEE Xplore, 2020)
The transmission-constrained unit commitment (TC-UC) problem is one of the most relevant problems solved by independent system operators for the daily operation of power systems. Given its computational complexity, this ...