Statistical analysis of agent-based models

In the video, Dr Jason Hilton and Professor Jakub Bijak introduce the basic concepts related to the design of experiments used to help understand the behaviour of complex computational models, such as agent-based models. They look at the relations between inputs and outputs of models, types of experimental design, and methods of analysing the results of simulation experiments. This video also explores the statistical emulators – or metamodels – and methods for uncertainty and sensitivity analysis.