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Nonstationary Bayesian time series models with time-varying parameters and regime-switching
(University of Missouri--Columbia, 2021)
Nonstationary time series data exist in various scientic disciplines, including environmental science, biology, signal processing, econometrics, among others. Many Bayesian models have been developed to handle nonstationary ...
Point processes on the complex plane with applications
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A point process is a random collection of points from a certain space, and point process models are widely used in areas dealing with spatial data. ...
Topics in imbalanced data classification : AdaBoost and Bayesian relevance vector machine
(University of Missouri--Columbia, 2020)
This research has three parts addressing classification, especially the imbalanced data problem, which is one of the most popular and essential issues in the domain of classification. The first part is to study the Adaptive ...
Dynamic analysis of complex panel count data
(University of Missouri--Columbia, 2021)
approach, an extensive simulation study is conducted and suggests that it works well in practical situations. An application to the China Health and Nutrition Survey (CHNS) study is provided. In practice, there could exist more than one type of event...
Reference analysis of non-regular models and nonparametric Bayes modeling of large data
(University of Missouri--Columbia, 2019)
truncated exponential family and a general expression of conditional reference prior for multi group continuous parameter model. Furthermore, we demonstrate the usefulness of our work by deriving reference priors for models which have no known existing...
Full Bayesian models for paired RNA-seq data and Bayesian equivalence test
(University of Missouri--Columbia, 2018)
practice for gene expression analysis using high throughput read-count data. I also proposed and studied a Bayesian test procedure for the equivalence test with parameter margin, which has a wide range of applications in pharmaceutical statistics...