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Improving the Approximation of the First- and Second-Order Statistics of the Response Stochastic Process to the Random Legendre Differential Equation
(Springer Nature Switzerland AG, 2019-04-16)
In this paper, we deal with uncertainty quantification for the
random Legendre differential equation, with input coefficient A and initial conditions X0 and X1. In a previous study (Calbo et al. in Comput
Math Appl ...
Loss compensation in time-dependent elastic metamaterials
(American Physical Society, 2018)
Materials with properties that are modulated in time are known to display wave phenomena showing energy
increasing with time, with the rate mediated by the modulation. Until now there has been no accounting for ...
Estimation and prediction of time-varying GARCH models through a state-space representation: a computational approach
(Taylor & Francis, 2017-06-05)
We propose a state-space approach for GARCH models with time-varying parameters able to deal with non-stationarity that is usually observed in a wide variety of time series. The parameters of the non-stationary model are ...
The Latent Scale Covariogram: A Tool for Exploring the Spatial Dependence Structure of Nonnormal Responses
(Taylor and Francis Group, 2018-10-29)
When modeling spatially distributed normal responses Yi in terms of vectors xi of explanatory variables, one may fit a linear model assuming independence, and then use the empirical variogram of the residuals to determine ...
Supervised classification of geometrical objects by integrating currents and functional data analysis
(Springer Verlag, 2019)
This paper focuses on the application of supervised classification techniques to a set of geometrical objects (bodies) characterized by currents, in particular, discriminant analysis and some nonparametric methods. A current ...
Contextual contact tracing based on stochastic compartment modeling and spatial risk assessment
(Springer, 2021-10-26)
The current situation of COVID-19 highlights the paramount importance of infectious disease surveillance, which
necessitates early monitoring for effective response. Policymakers are interested in data insights identifying ...
Solving a class of random non-autonomous linear fractional differential equations by means of a generalized mean square convergent power series
(Elsevier Ltd., 2017-11)
The aim of this paper is to solve a class of non-autonomous linear fractional differential equations with random inputs. A mean square convergent series solution is constructed in the case that the fractional order of ...
On the convergence of adaptive gPC for non-linear random difference equations: Theoretical analysis and some practical recommendations
(International Scientific Research Publications, 2018-06-19)
In this paper, the application of adaptive generalized polynomial chaos (gPC) to quantify the uncertainty for non-linear
random difference equations is analyzed. It is proved in detail that, under certain assumptions, the ...
A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique
(John Wiley & Sons, Ltd., 2018-11-28)
This paper provides a full probabilistic solution of the randomized fractionallinear nonhomogeneous differential equation with a random initial conditionvia the computation of the first probability density function of the ...
Developing a virtual trade fair using an agent-oriented approach
(Springer, 2015)
Online virtual trade fairs are becoming a popular way of establishing
economic trade relationships nowadays. In the current context of the world economy,
new ways of creating virtual environments where suppliers can show ...