Showing stat.COShow all
3 papers · 1 filter
stat.CO2018
Bayesian inference for a partially observed birth-death process using data on proportions
Richard J. Boys, Holly F. Ainsworth, Colin S. Gillespie
Stochastic kinetic models are often used to describe complex biological processes. Typically these models are analytically intractable and have unknown parameters which need to be…
stat.CO2018
Efficient construction of Bayes optimal designs for stochastic process models
Colin S. Gillespie, Richard J. Boys
Stochastic process models are now commonly used to analyse complex biological, ecological and industrial systems. Increasingly there is a need to deliver accurate estimates of mode…
stat.CO2018
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models
Andrew Golightly, Emma Bradley, Tom Lowe +1
The challenging problem of conducting fully Bayesian inference for the reaction rate constants governing stochastic kinetic models (SKMs) is considered. Given the challenges underl…