| A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling AA Sher, K Wang, A Wathen, PJ Maybank, GR Mirams, D Abramson, ... Future Generation Computer Systems 29 (2), 591-598, 2013 | 23 | 2013 |
| Marginal sequential Monte Carlo for doubly intractable models RG Everitt, D Prangle, P Maybank, M Bell arXiv preprint arXiv:1710.04382, 2017 | 6 | 2017 |
| Fast approximate Bayesian inference for stable differential equation models P Maybank, I Bojak, RG Everitt arXiv preprint arXiv:1706.00689, 2017 | 4 | 2017 |
| Automatic simplification of systems of reaction–diffusion equations by a posteriori analysis PJ Maybank, JP Whiteley Mathematical Biosciences 248, 146-157, 2014 | 2 | 2014 |
| MCMC for Bayesian uncertainty quantification from time-series data P Maybank, P Peltzer, U Naumann, I Bojak Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 1 | 2020 |
| Bayesian inference for stable differential equation models with applications in computational neuroscience P Maybank University of Reading, 2019 | 1 | 2019 |
| Automatic simplification of differential equation models by a posteriori analysis P Maybank, P Maybank Oxford University, UK, 2012 | | 2012 |
