activity
20212025
most citedEfficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters

22 citations · 31 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

stat.AP2022

Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal

Conor Rosato, John Harris, Jasmina Panovska-Griffiths +1

State-space models have been widely used to model the dynamics of communicable diseases in populations of interest by fitting to time-series data. Particle filters have enabled the…