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06/09/2023
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention
Improving road safety is hugely important with the number of deaths on t...
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03/27/2023
Accelerating Bayesian inference for stochastic epidemic models using incidence data
We consider the case of performing Bayesian inference for stochastic epi...
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02/01/2023
Bayesian inference for a spatio-temporal model of road traffic collision data
Improving road safety is hugely important with the number of deaths on t...
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06/06/2022
Accelerating inference for stochastic kinetic models
Stochastic kinetic models (SKMs) are increasingly used to account for th...
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07/01/2021
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
Proper function of a wastewater treatment plant (WWTP) relies on maintai...
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09/16/2020
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
The presence of protein aggregates in cells is a known feature of many h...
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09/11/2020
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes
We consider the problem of inference for nonlinear, multivariate diffusi...
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12/16/2019
Exact Bayesian inference for discretely observed Markov Jump Processes using finite rate matrices
We present new methodologies for Bayesian inference on the rate paramete...
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10/02/2019
Scalable approximate inference for state space models with normalising flows
By exploiting mini-batch stochastic gradient optimisation, variational i...
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07/23/2019
Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
We perform fully Bayesian inference for stochastic differential equation...
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06/05/2019
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter
Particle Markov chain Monte Carlo (pMCMC) is now a popular method for pe...
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09/19/2018
Efficient sampling of conditioned Markov jump processes
We consider the task of generating draws from a Markov jump process (MJP...
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06/14/2018
Sequential Bayesian inference for spatio-temporal models of temperature and humidity data
We develop a spatio-temporal model to forecast sensor output at five loc...
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02/20/2018
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models
Performing fully Bayesian inference for the reaction rate constants gove...
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02/09/2018
