9 citations · 10 across the 3 of their papers we have counts for
3 papers
A Causal Analysis of the Plots of Intelligent Adversaries
Preetha Ramiah, David I. Hastie, Oliver Bunnin +2
In this paper we demonstrate a new advance in causal Bayesian graphical modelling combined with Adversarial Risk Analysis. This research aims to support strategic analyses of vario…
Sampling from Dirichlet process mixture models with unknown concentration parameter: Mixing issues in large data implementations
David I. Hastie, Silvia Liverani, Sylvia Richardson
We consider the question of Markov chain Monte Carlo sampling from a general stick-breaking Dirichlet process mixture model, with concentration parameter alpha. This paper introduc…
PReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet Processes
Silvia Liverani, David I. Hastie, Lamiae Azizi +2
PReMiuM is a recently developed R package for Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically lin…