| Short-term forecasts to inform the response to the Covid-19 epidemic in the UK S Funk, S Abbott, BD Atkins, M Baguelin, JK Baillie, P Birrell, J Blake, ... MedRxiv, 2020.11. 11.20220962, 2020 | 35 | 2020 |
| An n‐dimensional Rosenbrock distribution for Markov chain Monte Carlo testing F Pagani, M Wiegand, S Nadarajah Scandinavian Journal of Statistics 49 (2), 657-680, 2022 | 32* | 2022 |
| NuZZ: Numerical Zig-Zag for general models F Pagani, A Chevallier, S Power, T House, S Cotter Statistics and Computing 34 (1), 61, 2024 | 17* | 2024 |
| EpiBeds: Data informed modelling of the COVID-19 hospital burden in England CE Overton, L Pellis, HB Stage, F Scarabel, J Burton, C Fraser, I Hall, ... PLoS computational biology 18 (9), e1010406, 2022 | 17 | 2022 |
| FlexKnot and Gaussian Process for 21 cm global signal analysis and foreground separation S Heimersheim, L Rønneberg, H Linton, F Pagani, A Fialkov Monthly Notices of the Royal Astronomical Society 527 (4), 11404-11421, 2024 | 2 | 2024 |
| Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine PDW Kirk, F Pagani, S Richardson arXiv preprint arXiv:2303.00318, 2023 | 1 | 2023 |
| ZigZag-based Markov chain Monte Carlo for sampling from challenging posterior distributions F Pagani PQDT-Global, 2021 | | 2021 |
