Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation
Parameter identification problems in partial differential equations (PDEs) consist in determining one or more functional coefficient in a PDE. In this article, the Bayesian nonparametric approach to such problems is considered. Focusing on the representative example of inferring the diffusivity func...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Foundations |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9321/5/2/14 |
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