34 citations · 70 across the 13 of their papers we have counts for
3 papers · 1 filter
Prediction of spatio-temporal data on meshed surfaces using advection-diffusion SPDEs
Mike Pereira, Lucia Clarotto, Nicolas Desassis
The aim of this work is to propose a statistical model for spatio-temporal data on meshed surfaces based on the Stochastic Partial Differential Equation (SPDE) modeling approach. S…
A matrix-free approach to geostatistical filtering
Mike Pereira, Nicolas Desassis, Cédric Magneron +1
In this paper, we present a novel approach to geostatistical filtering which tackles two challenges encountered when applying this method to complex spatial datasets: modeling the…
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…