18 citations · 27 across the 4 of their papers we have counts for
4 papers
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…
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…
Bayesian inference for exponential random graph models
Alberto Caimo, Nial Friel
Exponential random graph models are extremely difficult models to handle from a statistical viewpoint, since their normalising constant, which depends on model parameters, is avail…
Classification using distance nearest neighbours
Nial Friel, Anthony N. Pettitt
This paper proposes a new probabilistic classification algorithm using a Markov random field approach. The joint distribution of class labels is explicitly modelled using the dista…