128 citations · 624 across the 30 of their papers we have counts for
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stat.CO2015★ 2 cited
Investigation of Parameter Uncertainty in Clustering Using a Gaussian Mixture Model Via Jackknife, Bootstrap and Weighted Likelihood Bootstrap
Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca +1
Mixture models are a popular tool in model-based clustering. Such a model is often fitted by a procedure that maximizes the likelihood, such as the EM algorithm. At convergence, th…
stat.CO2015★ 15 cited
Bayesian model averaging in model-based clustering and density estimation
Niamh Russell, Thomas Brendan Murphy, Adrian E Raftery
We propose Bayesian model averaging (BMA) as a method for postprocessing the results of model-based clustering. Given a number of competing models, appropriate model summaries are…