Mathematical Modelling

Research Frontiers in Bayesian Inverse Problems and Posterior Inference

Probabilistic frameworks for solving inverse problems using Bayesian methods to characterize parameter distributions and quantify epistemic uncertainty in model calibration.

All Mathematical Modelling PhD categories