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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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09/21/2021
Short-term traffic prediction using physics-aware neural networks
In this work, we propose an algorithm performing short-term predictions ...
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07/06/2021
Galerkin–Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds
A new numerical approximation method for a class of Gaussian random fiel...
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01/27/2021
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach
The main motivation of this work is to assess the validity of a LWR traf...
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04/06/2020
A matrix-free approach to geostatistical filtering
In this paper, we present a novel approach to geostatistical filtering w...
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11/06/2018
Finite element approximation of non-Markovian random fields
In this paper, we present finite element approximations of a class of Ge...
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05/17/2018