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Hierarchical spatio-temporal models for environmental processes
(University of Missouri--Columbia, 2007)
using a hierarchical modeling framework where a complex problem is decomposed into a series of simpler problems that are linked through rules of probability. In this dissertation, hierarchical spatio-temporal models are developed and utilized...
Variable selection and causal treatment effect estimation based on interval-censored failure time data
(University of Missouri--Columbia, 2022)
with the compositional covariates in microbiome data. Finally, its usefulness is illustrated by the real data that motivated these studies. Another focus of this dissertation is the treatment effect estimation. In the presence of censoring, standard methods...
Objective Bayesian analysis of the 2 x 2 contingency table and the negative binomial distribution
(University of Missouri--Columbia, 2018)
In Bayesian analysis, the “objective” Bayesian approach seeks to select a prior distribution not by using (often subjective) scientific belief or by mathematical convenience, but rather by deriving it under a pre-specified ...