Uncertainty Quantification in a nutshell - The Bayesian framework for inverse problems

Uncertainty Quantification in a nutshell - The Bayesian framework for inverse problem

The Bayesian approach is fundamental in quantifying uncertainty within applications involving the blending of mathematical models with data. This mini-course aims to provide basic knowledge of the mathematical and computational tools related to the formulation and the implementation of the Bayesian approach to inverse problems. We will cover various efficient numerical techniques and algorithms for this class of problems.