In the past ten years there has been a dramatic increase of interest in the Bayesian analysis
of finite mixture models. This is primarily because of the emergence of Markov chain Monte …

purpose. Amblyopia is the commonest visual disorder of childhood. Yet the contributions of
the two principal treatments (spectacle wear and occlusion) to outcome are unknown. This …

Changepoint identification is important in many data analysis problems, such as industrial
control and medical diagnosis–given a data sequence, we wish to make inference about the …

A dynamic regime is a function that takes treatment and covariate history and baseline
covariates as inputs and returns a decision to be made. Murphy (2003, Journal of the Royal …

Identifying transplant recipients in whom immunological tolerance is established or is developing
would allow an individually tailored approach to their posttransplantation management. …

In this paper we present a review of population-based simulation for static inference problems.
Such methods can be described as generating a collection of random variables {X n } n=1,…

Objectives To compare visual outcome in response to two prescribed rates of occlusion (six
hours a day and 12 hours a day). Design Unmasked randomised trial. Setting Research …

purpose. To identify factors that influence the outcome of treatment for unilateral amblyopia,
as a part of the Monitored Occlusion Treatment of Amblyopia Study (MOTAS). methods. This …

Increased food intake is characteristic of hyperthyroidism, although this is presumed to
compensate for a state of negative energy balance. However, here we show that the thyroid …

We investigate simulation methodology for Bayesian inference in Lévy‐driven stochastic
volatility (SV) models. Typically, Bayesian inference from such models is performed using …