58 citations · 148 across the 25 of their papers we have counts for
3 papers · 1 filter
Bayesian inference for Markov jump processes with informative observations
Andrew Golightly, Darren J. Wilkinson
In this paper we consider the problem of parameter inference for Markov jump process (MJP) representations of stochastic kinetic models. Since transition probabilities are intracta…
Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models
Chris Sherlock, Andrew Golightly, Colin Gillespie
We consider the problem of efficiently performing simulation and inference for stochastic kinetic models. Whilst it is possible to work directly with the resulting Markov jump proc…
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
Andrew Golightly, Daniel A. Henderson, Chris Sherlock
Recently-proposed particle MCMC methods provide a flexible way of performing Bayesian inference for parameters governing stochastic kinetic models defined as Markov (jump) processe…