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Smooth shadow boundaries with exponentially-warped gaussian filtering
(Elsevier, 2013-05)
Shadow mapping is widely used in computer graphics for efficiently rendering shadows in real-time applications. Shadow maps cannot be filtered as regular textures, thus their limited resolution can cause severe shadow map ...
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 ...
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 ...
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 ...
Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach
(WileyInternational Statistical Institute, 2019-04)
This paper discusses the application of graphical modelling in the statistical analysis of marked point patterns. We consider a multivariate planar point process with quantitative marks. After a survey of statistical methods ...
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 ...
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 ...
Valoración del grado de resección de los macroadenomas hipofisarios en la resonancia magnética posquirúrgica inmediata
(Elsevier, 2018)
Objetivo
Comprobar si es posible determinar el grado de resección de macroadenomas hipofisarios en la resonancia magnética (RM) hipofisaria posquirúrgica inmediata.
Material y métodos
Se revisaron las RM hipofisarias ...
Revisiting the random shift approach for testing in spatial statistics
(Elsevier, 2020)
We consider the problem of non-parametric testing of independence of two components of a stationary bivariate spatial process. In particular, we revisit the random shift approach that has become the standard method for ...
Characterization of Tin/Ethylene Glycol Solar Nanofluids Synthesized by Femtosecond Laser Radiation
(John Wiley & Sons, Ltd., 2016-11-22)
Solar energy is available over wide geographical areas and its harnessing is becoming an essential tool to satisfy the ever-increasing demand for energy with minimal environmental impact. Solar nanofluids are a novel solar ...