3 papers
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…
stat.AP2019
How are emergent constraints quantifying uncertainty and what do they leave behind?
Daniel B. Williamson, Philip G. Sansom
The use of emergent constraints to quantify uncertainty for key policy relevant quantities such as Equilibrium Climate Sensitivity (ECS) has become increasingly widespread in recen…
stat.ME2019
Emulating computer models with step-discontinuous outputs using Gaussian processes
Hossein Mohammadi, Peter Challenor, Marc Goodfellow +1
In many real-world applications we are interested in approximating costly functions that are analytically unknown, e.g. complex computer codes. An emulator provides a fast approxim…