138 citations · 225 across the 12 of their papers we have counts for
6 papers · 1 filter
Modelling Correlated Bernoulli Data Part II: Inference
Louise Kimpton, Peter Challenor, Henry Wynn
Binary data are highly common in many applications, however it is usually modelled with the assumption that the data are independently and identically distributed. This is typicall…
Binary De Bruijn Processes
Louise Kimpton, Peter Challenor, Henry Wynn
Binary time series data are very common in many applications, and are typically modelled independently via a Bernoulli process with a single probability of success. However, the pr…
Variance-based global sensitivity analysis of numerical models using R
Hossein Mohammadi, Peter Challenor, Clémentine Prieur
Sensitivity analysis plays an important role in the development of computer models/simulators through identifying the contribution of each (uncertain) input factor to the model out…
Sequential adaptive design for emulating costly computer codes
Hossein Mohammadi, Peter Challenor
Gaussian processes (GPs) are generally regarded as the gold standard surrogate model for emulating computationally expensive computer-based simulators. However, the problem of trai…
A Bayesian Decision Support System in Energy Systems Planning
Victoria Volodina, Nikki Sonenberg, Peter Challenor +1
Gaussian Process (GP) emulators are widely used to approximate complex computer model behaviour across the input space. Motivated by the problem of coupling computer models, recent…
Propagating uncertainty in a network of energy models
Victoria Volodina, Nikki Sonenberg, Jim Q. Smith +3
Computer models are widely used in decision support for energy systems operation, planning and policy. A system of models is often employed, where model inputs themselves arise fro…