research
∙
08/04/2023
A State-Space Perspective on Modelling and Inference for Online Skill Rating
This paper offers a comprehensive review of the main methodologies used ...
share
research
∙
08/24/2022
Inference on Extended-Spectrum Beta-Lactamase Escherichia coli and Klebsiella pneumoniae data through SMC^2
We propose a novel stochastic model for the spread of antimicrobial-resi...
research
∙
06/10/2022
Approximating optimal SMC proposal distributions in individual-based epidemic models
Many epidemic models are naturally defined as individual-based models: w...
research
∙
05/26/2022
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
Addressing the challenge of scaling-up epidemiological inference to comp...
research
∙
06/24/2020
Inference in Stochastic Epidemic Models via Multinomial Approximations
We introduce a new method for inference in stochastic epidemic models wh...
research
∙
04/15/2020
Dynamic Bayesian Neural Networks
We define an evolving in time Bayesian neural network called a Hidden Ma...
research
∙
02/05/2019