49 citations · 243 across the 39 of their papers we have counts for
8 papers · 1 filter
Nonseparable Space-Time Stationary Covariance Functions on Networks cross Time
Emilio Porcu, Philip A. White, Marc G. Genton
The advent of data science has provided an increasing number of challenges with high data complexity. This paper addresses the challenge of space-time data where the spatial domain…
The -family of covariance functions: A Matérn analogue for modeling random fields on spheres
Alfredo Alegría, Francisco Cuevas-Pacheco, Peter Diggle +1
The Mat{é}rn family of isotropic covariance functions has been central to the theoretical development and application of statistical models for geospatial data. For global data def…
Flexible Validity Conditions for the Multivariate Matérn Covariance in any Spatial Dimension and for any Number of Components
Xavier Emery, Emilio Porcu, Philip White
This paper addresses the problem of finding parametric constraints that ensure the validity of the multivariate Mat{é}rn covariance for modeling the spatial correlation structure o…
Towards a Complete Picture of Stationary Covariance Functions on Spheres Cross Time
Philip White, Emilio Porcu
With the advent of wide-spread global and continental-scale spatiotemporal datasets, increased attention has been given to covariance functions on spheres over time. This paper pro…
Determinantal point process models on the sphere
Jesper Møller, Morten Nielsen, Emilio Porcu +1
We consider determinantal point processes on the -dimensional unit sphere . These are finite point processes exhibiting repulsiveness and with moment properties det…
A Flexible Class of Non-separable Cross-Covariance Functions for Multivariate Space-Time Data
Marc Bourotte, Denis Allard, Emilio Porcu
Multivariate space-time data are increasingly available in various scientific disciplines. When analyzing these data, one of the key issues is to describe the multivariate space-ti…