46 citations · 125 across the 11 of their papers we have counts for
11 papers
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
Alessio Benavoli, Jason Wyse, Arthur White
We present a two-stage Metropolis-Hastings algorithm for sampling probabilistic models, whose log-likelihood is computationally expensive to evaluate, by using a surrogate Gaussian…
An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost
Fatima-Zahra Jaouimaa, Daniel Dempsey, Suzanne van Osch +4
Strategies adopted globally to mitigate the threat of COVID-19 have primarily involved lockdown measures with substantial economic and social costs with varying degrees of success.…
Bayesian model selection for the latent position cluster model for Social Networks
Caitriona Ryan, Jason Wyse, Nial Friel
The latent position cluster model is a popular model for the statistical analysis of network data. This model assumes that there is an underlying latent space in which the actors f…
Inferring structure in bipartite networks using the latent block model and exact ICL
Jason Wyse, Nial Friel, Pierre Latouche
We consider the task of simultaneous clustering of the two node sets involved in a bipartite network. The approach we adopt is based on use of the exact integrated complete likelih…
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler
Arthur White, Jason Wyse, Thomas Brendan Murphy
Latent class analysis is used to perform model based clustering for multivariate categorical responses. Selection of the variables most relevant for clustering is an important task…
Bayesian model selection for the latent position cluster model for Social Networks
Nial Friel, Caitriona Ryan, Jason Wyse
The latent position cluster model is a popular model for the statistical analysis of network data. This approach assumes that there is an underlying latent space in which the actor…