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Lorenzo Rimella
Lorenzo Rimella
Senior research associate, Lancaster University
Подтвержден адрес электронной почты в домене lancaster.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Inference in stochastic epidemic models via multinomial approximations
N Whiteley, L Rimella
International Conference on Artificial Intelligence and Statistics, 1297-1305, 2021
102021
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
82023
Exploiting locality in high-dimensional factorial hidden Markov models
L Rimella, N Whiteley
Journal of Machine Learning Research 23, 34, 2022
72022
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
52023
Approximating optimal SMC proposal distributions in individual-based epidemic models
L Rimella, C Jewell, P Fearnhead
arXiv preprint arXiv:2206.05161, 2022
42022
Dynamic bayesian neural networks
L Rimella, N Whiteley
arXiv preprint arXiv:2004.06963, 2020
32020
A state-space perspective on modelling and inference for online skill rating
S Duffield, S Power, L Rimella
arXiv preprint arXiv:2308.02414, 2023
22023
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
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Статьи 1–10