Posterior consistency for Bayesian inverse problems through stability and regression results
In the Bayesian approach, the a priori knowledge about the input of a mathematical model is described via a probability measure. The joint distribution of the unknown input and the data is then conditioned, using Bayes' formula, giving rise to the posterior distribution on the unknown input. In...
| Hovedforfatter: | |
|---|---|
| Format: | Journal article |
| Sprog: | English |
| Udgivet: |
2013
|