10 citations · 15 across the 11 of their papers we have counts for
4 papers · 1 filter
Finite element approximation of non-Markovian random fields
Mike Pereira, Nicolas Desassis
In this paper, we present finite element approximations of a class of Generalized random fields defined over a bounded domain of R d or a smooth d-dimensional Riemannian manifold (…
A general framework for SPDE-based stationary random fields
Ricardo Carrizo Vergara, Denis Allard, Nicolas Desassis
This paper presents theoretical advances in the application of the Stochastic Partial Differential Equation (SPDE) approach in geostatistics. We show a general approach to construc…
Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation
Mike Pereira, Nicolas Desassis
This paper presents an algorithm to simulate Gaussian random vectors whose precision matrix can be expressed as a polynomial of a sparse matrix. This situation arises in particular…
Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets
Thomas Romary, Nicolas Desassis
Large spatial datasets are becoming ubiquitous in environmental sciences with the explosion in the amount of data produced by sensors that monitor and measure the Earth system. Con…