Inference in stochastic epidemic models via multinomial approximations N Whiteley, L Rimella International Conference on Artificial Intelligence and Statistics, 1297-1305, 2021 | 10 | 2021 |
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods M Whitehouse, N Whiteley, L Rimella Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 9 | 2023 |
Exploiting locality in high-dimensional factorial hidden Markov models L Rimella, N Whiteley Journal of Machine Learning Research 23, 34, 2022 | 7 | 2022 |
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2 L Rimella, S Alderton, M Sammarro, B Rowlingson, D Cocker, N Feasey, ... Journal of the Royal Statistical Society Series C: Applied Statistics 72 (5 …, 2023 | 6 | 2023 |
Approximating optimal SMC proposal distributions in individual-based epidemic models L Rimella, C Jewell, P Fearnhead arXiv preprint arXiv:2206.05161, 2022 | 4 | 2022 |
Dynamic bayesian neural networks L Rimella, N Whiteley arXiv preprint arXiv:2004.06963, 2020 | 3 | 2020 |
A State-Space Perspective on Modelling and Inference for Online Skill Rating S Duffield, S Power, L Rimella arXiv preprint arXiv:2308.02414, 2023 | 2 | 2023 |
Key environmental exposure pathways to antimicrobial resistant bacteria in southern Malawi: A SaniPath approach T Mwapasa, K Chidziwisano, M Mphasa, D Cocker, L Rimella, S Amos, ... Science of The Total Environment, 174142, 2024 | | 2024 |
Simulation Based Composite Likelihood L Rimella, C Jewell, P Fearnhead arXiv preprint arXiv:2310.10761, 2023 | | 2023 |
downloaded from Explore Bristol Research, http://research-information. bristol. ac. uk L Rimella | | 2021 |
S1 Preliminaries L Rimella, C Jewell, P Fearnhead | | |