| Analyzing Stochastic Computer Models: A Review with Opportunities E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ... arXiv e-prints, arXiv: 2002.01321, 2020 | 50* | 2020 |
| Predicting the output from a stochastic computer model when a deterministic approximation is available E Baker, P Challenor, M Eames Journal of Computational and Graphical Statistics 29 (4), 786-797, 2020 | 7 | 2020 |
| Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES E Baker, AB Harper, D Williamson, P Challenor Geoscientific Model Development 15 (5), 1913-1929, 2022 | 6 | 2022 |
| Future proofing a building design using history matching inspired level-set techniques E Baker, P Challenor, M Eames Journal of the Royal Statistical Society Series C: Applied Statistics 70 (2 …, 2021 | 5 | 2021 |
| Diagnostics for stochastic Gaussian process emulators E Baker, P Challenor, M Eames arXiv preprint arXiv:1902.01289, 2019 | 2 | 2019 |
| Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES E Baker, A Harper, D Williamson, P Challenor Geoscientific Model Development Discussions 2021, 1-23, 2021 | 1 | 2021 |
| Emulation of stochastic computer models with an application to building design E Baker PQDT-UK & Ireland, 2021 | 1 | 2021 |
| Fully Personalised Degenerative Disease Modelling-A Duchenne Muscular Dystrophy Case Study E Baker, P Challenor, I Bamsey, F Muntoni, AY Manzur, ... medRxiv, 2022.07. 28.22278103, 2022 | | 2022 |
| Mapping the differences between pancreatic Beta cell models E Baker, K Wedgewood, D Galvis, P Challenor | | |
