Buscar
Space-time autoregressive estimation and prediction with missing data based on Kalman filtering
(Wiley, 2020-11)
We propose a Kalman filter algorithm to provide a formal statistical analysis of space‐time data with an autoregressive structure in time. The Kalman filter technique allows to capture the temporal dependence as well as ...
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 ...
Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes
(Springer, 2018)
We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast ...
Trivariate non‐Gaussian copulas to analyze the spatial behavior of rat sightings
(Wiley, 2018)
The brown rat lives with man in a wide variety of environmental contexts and adversely affects public health by transmission of diseases, bites, and allergies. Understanding behavioral and spatial correlation aspects of ...
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 ...
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
(Springer, 2020)
Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria
decision-making methods in a range of business and financial problems due to the variety and ...
A Distance-based Method for Spatial Prediction in the Presence of Trend
(SpringerInternational Biometric Society, 2020-06-01)
A new method based on distances for modeling continuous random data in Gaussian random fields is presented. In non-stationary cases in which a trend or drift is present, dealing with information in regionalized mixed ...
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 ...
Tailoring the Bactericidal Activity of Ag Nanoparticles/α-Ag2WO4 Composite Induced by Electron Beam and Femtosecond Laser Irradiation: Integration of Experiment and Computational Modeling
(American Chemical Society, 2019)
In nanotechnology research, significant effort is devoted to fabricating patterns of metallic nanoparticles on the surfaces of different semiconductors to find innovative materials with favorable characteristics, such as ...
Equivalence and orthogonality of Gaussian measures on spheres
(Elsevier, 2018-09)
The equivalence of Gaussian measures is a fundamental tool to establish the asymptotic properties of both prediction and estimation of Gaussian fields under fixed domain asymptotics. The paper solves Problem 18 in the list ...