ResearchTrend.AI
Modeling Temporally Evolving and Spatially Globally Dependent Data

Modeling Temporally Evolving and Spatially Globally Dependent Data

Emilio Porcu
Alfredo Alegría
Reinhard Furrer
ArXivPDFHTML

Papers citing "Modeling Temporally Evolving and Spatially Globally Dependent Data"

6 / 6 papers shown
Title
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics
M. Bevilacqua
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
65
75
0
23 Jul 2016
Gaussian Random Particles with Flexible Hausdorff Dimension
Gaussian Random Particles with Flexible Hausdorff Dimension
L. V. Hansen
T. Thorarinsdottir
E. Ovcharov
T. Gneiting
Donald Richards
54
21
0
05 Feb 2015
Convolution roots and differentiability of isotropic positive definite functions on spheres
Convolution roots and differentiability of isotropic positive definite functions on spheres
J. Ziegel
69
44
0
27 Jan 2012
Strictly and non-strictly positive definite functions on spheres
Strictly and non-strictly positive definite functions on spheres
T. Gneiting
154
320
0
30 Nov 2011
Some covariance models based on normal scale mixtures
Some covariance models based on normal scale mixtures
Martin Schlather
75
71
0
25 Feb 2011
On spectral representations of tensor random fields on the sphere
On spectral representations of tensor random fields on the sphere
N. Leonenko
L. Sakhno
72
43
0
17 Dec 2009