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Scalable Bayesian nonparametric learning for biomedical big data
(University of Missouri--Columbia, 2018)
of inference approaches that extend parametric Bayesian models using in finite dimensional distributions. In this dissertation, novel statistical methods based on Bayesian nonparametric models and their extensions are developed to handle 'omics data for various...