| 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 | 12 | 2023 |
| Inference in stochastic epidemic models via multinomial approximations N Whiteley, L Rimella International Conference on Artificial Intelligence and Statistics, 1297-1305, 2021 | 12 | 2021 |
| 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 | 9 | 2023 |
| Exploiting locality in high-dimensional factorial hidden Markov models L Rimella, N Whiteley Journal of Machine Learning Research 23, 34, 2022 | 9 | 2022 |
| Approximating optimal SMC proposal distributions in individual-based epidemic models L Rimella, C Jewell, P Fearnhead arXiv preprint arXiv:2206.05161, 2022 | 5 | 2022 |
| A state-space perspective on modelling and inference for online skill rating S Duffield, S Power, L Rimella Journal of the Royal Statistical Society Series C: Applied Statistics 73 (5 …, 2024 | 4 | 2024 |
| Hidden Markov Neural Networks L Rimella, N Whiteley Entropy 27 (168), 2025 | 3* | 2025 |
| 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 945, 174142, 2024 | 2 | 2024 |
| Simulation based composite likelihood L Rimella, C Jewell, P Fearnhead Statistics and Computing 35 (3), 58, 2025 | 1 | 2025 |
| Scalable calibration for partially observed individual-based epidemic models through categorical approximations L Rimella, N Whiteley, C Jewell, P Fearnhead, M Whitehouse arXiv preprint arXiv:2501.03950, 2025 | 1 | 2025 |
| Machine learning method for As-Is tunnel information model reconstruction N Rimella, L Rimella, A Osello Automation in Construction 172, 106039, 2025 | | 2025 |
| Disclosure risk assessment with Bayesian non-parametric hierarchical modelling M Battiston, L Rimella arXiv preprint arXiv:2408.12521, 2024 | | 2024 |
| S1 Preliminaries L Rimella, C Jewell, P Fearnhead | | |
Nick WhiteleyUniversity of BristolEmail verificata su bristol.ac.uk
