Neural networks for parameter estimation in geostatistical models with geometric anisotropies
This article presents two neural network approaches for estimating the covariance function of a spatial Gaussian random field defined in a portion of the euclidean plane. Our proposal builds upon recent contributions, expanding from the purely isotropic setting to encompass geometrically anisotropic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/adcdc2 |
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