Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...

Ensemble Kalman Inversion (EKI) is a computational framework aimed at addressing inverse problems – the process of inferring unknown parameters or functions from observable data. In an inverse problem ...