138 citations · 298 across the 20 of their papers we have counts for
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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…
Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available
Evan Baker, Peter Challenor, Matt Eames
The analysis of computer models can be aided by the construction of surrogate models, or emulators, that statistically model the numerical computer model. Increasingly, computer mo…
Diagnostics for Stochastic Gaussian Process Emulators
Evan Baker, Peter Challenor, Matt Eames
Computer models, also known as simulators, can be computationally expensive to run, and for this reason statistical surrogates, known as emulators, are often used. Any statistical…
Modelling Numerical Systems with Two Distinct Labelled Output Classes
Louise Kimpton, Peter Challenor, Daniel Williamson
We present a new method of modelling numerical systems where there are two distinct output solution classes, for example tipping points or bifurcations. Gaussian process emulation…