5 papers
Bayes Linear Analysis for Statistical Modelling with Uncertain Inputs
Samuel E. Jackson, David C. Woods
Statistical models typically capture uncertainties in our knowledge of the corresponding real-world processes, however, it is less common for this uncertainty specification to capt…
Efficient Emulation of Computer Models Utilising Multiple Known Boundaries of Differing Dimensions
Samuel E. Jackson, Ian Vernon
Emulation has been successfully applied across a wide variety of scientific disciplines for efficiently analysing computationally intensive models. We develop known boundary emulat…
Bayes Linear Emulation of Simulator Networks
Samuel E. Jackson, David C. Woods
Computationally expensive simulators, implementing mathematical models in computer codes, are commonly approximated using statistical emulators. We develop and assess novel emulati…
Known Boundary Emulation of Complex Computer Models
Ian Vernon, Samuel E. Jackson, Jonathan A. Cumming
Computer models are now widely used across a range of scientific disciplines to describe various complex physical systems, however to perform full uncertainty quantification we oft…
Understanding Hormonal Crosstalk in Arabidopsis Root Development via Emulation and History Matching
Samuel E. Jackson, Ian Vernon, Junli Liu +1
A major challenge in plant developmental biology is to understand how plant growth is coordinated by interacting hormones and genes. To meet this challenge, it is important to not…