263 citations · 636 across the 18 of their papers we have counts for
19 papers
Investigating Complex HPV Dynamics Using Emulation and History Matching
Andrew Iskauskas, Jamie A. Cohen, Danny Scarponi +5
The study of transmission and progression of human papillomavirus (HPV) is crucial for understanding the incidence of cervical cancers, and has been identified as a priority worldw…
FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning
Roi Kugel, Joop Schaye, Matthieu Schaller +17
To fully take advantage of the data provided by large-scale structure surveys, we need to quantify the potential impact of baryonic effects, such as feedback from active galactic n…
Bayesian Emulation for Computer Models with Multiple Partial Discontinuities
Ian Vernon, Jonathan Owen, Jonathan Carter
Computer models are widely used across a range of scientific disciplines to describe various complex physical systems, however to perform full uncertainty quantification we often n…
Emulation and History Matching using the hmer Package
Andrew Iskauskas, Ian Vernon, Michael Goldstein +4
Modelling complex real-world situations such as infectious diseases, geological phenomena, and biological processes can present a dilemma: the computer model (referred to as a simu…
Ab initio predictions link the neutron skin of Pb to nuclear forces
Baishan Hu, Weiguang Jiang, Takayuki Miyagi +8
Heavy atomic nuclei have an excess of neutrons over protons, which leads to the formation of a neutron skin whose thickness is sensitive to details of the nuclear force. This links…
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…