We introduce a novel approach to simulate Gaussian random fields defined over spheres of $\mathbb{R}^3$ . Through continuation we embed the process on the sphere in a nonstationary random field of $\mathbb{R}^3$ to use a turning bands method. We also discuss the approximation accuracy
This paper proposes a new class of covariance functions for bivariate random fields on spheres, havi...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
Random fields are families of random variables, indexed by a d-dimensional parameter x with d> 1....
We introduce a novel approach to simulate Gaussian random fields defined over spheres of $\mathbb{R}...
Random fields on the sphere play a fundamental role in the natural sciences. This paper presents a s...
Prepared with the partial support of the Office of Surface Mining, Department of Interior through M....
The efficient simulation of isotropic Gaussian random fields on the unit sphere is a task encountere...
We study multivariate Gaussian random fields defined over d-dimensional spheres. First, we provide a...
A Gaussian isotropic stochastic field on a 2D-sphere is characterized by either its covariance funct...
A Matlab program (TBCOSIM) is provided for co-simulating a set of stationary or intrinsic Gaussian r...
A random field (RF) is a set of correlated random variables associated with different spatial locati...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
We consider the problem of estimating the covariance function of an isotropic Gaussian stochastic fi...
Sample regularity and fast simulation of isotropic Gaussian random fields on the sphere are for exam...
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian i...
This paper proposes a new class of covariance functions for bivariate random fields on spheres, havi...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
Random fields are families of random variables, indexed by a d-dimensional parameter x with d> 1....
We introduce a novel approach to simulate Gaussian random fields defined over spheres of $\mathbb{R}...
Random fields on the sphere play a fundamental role in the natural sciences. This paper presents a s...
Prepared with the partial support of the Office of Surface Mining, Department of Interior through M....
The efficient simulation of isotropic Gaussian random fields on the unit sphere is a task encountere...
We study multivariate Gaussian random fields defined over d-dimensional spheres. First, we provide a...
A Gaussian isotropic stochastic field on a 2D-sphere is characterized by either its covariance funct...
A Matlab program (TBCOSIM) is provided for co-simulating a set of stationary or intrinsic Gaussian r...
A random field (RF) is a set of correlated random variables associated with different spatial locati...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
We consider the problem of estimating the covariance function of an isotropic Gaussian stochastic fi...
Sample regularity and fast simulation of isotropic Gaussian random fields on the sphere are for exam...
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian i...
This paper proposes a new class of covariance functions for bivariate random fields on spheres, havi...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
Random fields are families of random variables, indexed by a d-dimensional parameter x with d> 1....
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