Posterior consistency for Bayesian inverse problems through stability and regression results

Abstract

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 …

Type
Publication
Inverse Probl.