Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems
The Bayesian approach to inverse problems typically relies on posterior sampling approaches, such as Markov chain Monte Carlo, for which the generation of each sample requires one or more evaluations of the parameter-to-observable map or forward model. When these evaluations are computationally inte...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society for Industrial and Applied Mathematics
2014
|
| Online Access: | http://hdl.handle.net/1721.1/89467 https://orcid.org/0000-0001-8242-3290 |