General Introduction to Polynomial Chaos and Collocation Methods
Uncertainty Quantification in an Engineering Design Software System
Monte Carlo-Based and Sampling-Based Methods and Their Range of Applicability
Estimation of Model Error Using Bayesian Model-Scenario Averaging with Maximum a Posterori-Estimates
Robust Optimization with Gaussian Process Models