3 papers
stat.ME2025
Bayesian Hierarchical Emulators for Multi-Level Models: BayHEm
Louise Kimpton, James Salter, Xiaoyu Xiong +1
Decision making often uses complex computer codes run at the exa-scale (10e18 flops). Such computer codes or models are often run in a hierarchy of different levels of fidelity ran…
stat.OT2024
Uncertainty Quantification for Agent Based Models: A Tutorial
Louise Kimpton, Peter Challenor, James Salter
We explore the application of uncertainty quantification methods to agent-based models (ABMs) using a simple sheep and wolf predator-prey model. This work serves as a tutorial on h…
stat.ME2020
Classification of Computer Models with Labelled Outputs
Louise Kimpton, Peter Challenor, Daniel Williamson
Classification is a vital tool that is important for modelling many complex numerical models. A model or system may be such that, for certain areas of input space, the output eithe…