Engineering design work relies on the ability to predict system performance. A great deal of effort is spent producing models that incorporate knowledge of the
In this work, a computationally efficient Bayesian framework for the reduction and characterization of parametric uncertainty in computationally demanding envir
Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk contr
This book contains the proceedings of the NATO Advanced Research Workshop on Air, Water and Soil Quality Modelling for Risk and Impact Assessment. The aim of th