Having seen Bayesian field theoretical models working for Gaussian prior factors we will study in this section the slightly more complex prior mixture models. Prior mixture models are an especially ...
Journal of Computational and Graphical Statistics, Vol. 19, No. 2 (June 2010), pp. 260-280 (21 pages) We describe a strategy for Markov chain Monte Carlo analysis of nonlinear, non-Gaussian ...
You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. Data clustering is a fundamental unsupervised learning approach that impacts several domains such as ...
The Annals of Statistics, Vol. 48, No. 4 (August 2020), pp. 2277-2302 (26 pages) Motivated by problems in data clustering, we establish general conditions under which families of nonparametric mixture ...
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