46 citations · 125 across the 11 of their papers we have counts for
8 papers · 1 filter
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…
Improving power posterior estimation of statistical evidence
Nial Friel, Merrilee Hurn, Jason Wyse
The statistical evidence (or marginal likelihood) is a key quantity in Bayesian statistics, allowing one to assess the probability of the data given the model under investigation.…
Block clustering with collapsed latent block models
Jason Wyse, Nial Friel
We introduce a Bayesian extension of the latent block model for model-based block clustering of data matrices. Our approach considers a block model where block parameters may be in…