research
∙
08/30/2022
The SPDE approach for spatio-temporal datasets with advection and diffusion
In the task of predicting spatio-temporal fields in environmental scienc...
share
research
∙
08/26/2022
Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach
Large or very large spatial (and spatio-temporal) datasets have become c...
research
∙
04/06/2020
A matrix-free approach to geostatistical filtering
In this paper, we present a novel approach to geostatistical filtering w...
research
∙
11/06/2018
Finite element approximation of non-Markovian random fields
In this paper, we present finite element approximations of a class of Ge...
research
∙
06/13/2018
A general framework for SPDE-based stationary random fields
This paper presents theoretical advances in the application of the Stoch...
research
∙
06/05/2018
Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets
Large spatial datasets are becoming ubiquitous in environmental sciences...
research
∙
05/17/2018