Bayesian inverse problems with Monte Carlo forward models
The full application of Bayesian inference to inverse problems requires exploration of a posterior distribution that typically does not possess a standard form. In this context, Markov chain Monte Carlo (MCMC) methods are often used. These methods require many evaluations of a computationally intens...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Institute of Mathematical Sciences (AIMS)
2013
|
| Online Access: | http://hdl.handle.net/1721.1/78669 https://orcid.org/0000-0001-8242-3290 |