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Statistical analysis of clustered or multivariate interval-censored failure time data
(University of Missouri--Columbia, 2018)
of the presented methodology, an extensive simulation study is performed and suggests that the method works well in practical situations. Finally, the proposed approach is applied to a tumorigenicity experiment. Several directions for future research are discussed...
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...