13 citations · 14 across the 3 of their papers we have counts for
3 papers
Multi-Parameter Estimation of Prevalence (MPEP): A Bayesian modelling approach to estimate the prevalence of opioid dependence
Andreas Markoulidakis, Matthew Hickman, Nicky J Welton +2
Estimating the number of the number of people from hidden and/or marginalised populations - such as people dependent on opioids or cocaine - is important to guide policy decisions…
Forecasting under model uncertainty:Non-homogeneous hidden Markov models with Polya-Gamma data augmentation
Constandina Koki, Loukia Meligkotsidou, Ioannis Vrontos
We consider two-state Non-Homogeneous Hidden Markov Models (NHHMMs) for forecasting univariate time series. Given a set of predictors, the time series are modeled via predictive re…
Augmentation Schemes for Particle MCMC
Paul Fearnhead, Loukia Meligkotsidou
Particle MCMC involves using a particle filter within an MCMC algorithm. For inference of a model which involves an unobserved stochastic process, the standard implementation uses…