5 citations · 11 across the 8 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★ 2 cited
Improved model-based clustering performance using Bayesian initialization averaging
Adrian O'Hagan, Arthur White
The Expectation-Maximization (EM) algorithm is a commonly used method for finding the maximum likelihood estimates of the parameters in a mixture model via coordinate ascent. A ser…