Polynomial chaos forward models in Bayesian inference to solve inverse problems

摘要

In this paper we introduce polynomial chaos in the stochastic forward model used to solve the inverse problem through Bayesian inference. We validate our approach with three different methods that construct the stochastic forward model, to treat the TEAM Workshop Problem 8.