Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
We consider a Bayesian approach to nonlinear inverse problems in which the unknown quantity is a spatial or temporal field, endowed with a hierarchical Gaussian process prior. Computational challenges in this construction arise from the need for repeated evaluations of the forward model (e.g., in th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier,
2010-11-04T15:31:18Z.
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| Subjects: | |
| Online Access: | Get fulltext |