Advanced multi-level and multi-index Monte Carlo methods in uncertainty quantification

This thesis examines forward uncertainty propagation with the focus on Monte Carlo sampling methods. The goal of the dissertation is to design and apply various efficient and practical multi-level and multi-index Monte Carlo methods in the context of 2D elliptic PDEs with random input.