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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...
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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...
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11/10/2021
Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint
The Stochastic Partial Differential Equation (SPDE) approach, now common...
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10/15/2021
A new class of α-transformations for the spatial analysis of Compositional Data
Georeferenced compositional data are prominent in many scientific fields...
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03/25/2020
Modeling and simulating depositional sequences using latent Gaussian random fields
Simulating a depositional (or stratigraphic) sequence conditionally on b...
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02/19/2020
Semi-parametric resampling with extremes
Nonparametric resampling methods such as Direct Sampling are powerful to...
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12/04/2019
Simulating space-time random fields with nonseparable Gneiting-type covariance functions
Two algorithms are proposed to simulate space-time Gaussian random field...
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07/11/2018
Fast and exact simulation of isotropic Gaussian random fields on S^2 and S^2×R
We provide a method for fast and exact simulation of Gaussian random fie...
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06/13/2018
