7 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.CO2012
Bayesian inference for Gibbs random fields using composite likelihoods
Nial Friel
Gibbs random fields play an important role in statistics, for example the autologistic model is commonly used to model the spatial distribution of binary variables defined on a lat…
stat.CO2010
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…
stat.CO2010★ 7 cited
Simulation-based Bayesian analysis for multiple changepoints
Jason Wyse, Nial Friel
This paper presents a Markov chain Monte Carlo method to generate approximate posterior samples in retrospective multiple changepoint problems where the number of changes is not kn…