Browsing Theses (MU) by Thesis Department "Statistics (MU)"
Now showing items 1-8 of 8
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A Bayesian classification framework with label corrections
(University of Missouri--Columbia, 2014)The use of unlabeled data is very important for regression and classification analysis in many cases. However, the data may have an extra layer of complexity with some wrongly labelled data points. The traditional ... -
Bayesian lasso for random intercept factor model
(University of Missouri--Columbia, 2013)Structural Equation Models (SEM) are often used in psychological research. In many studies, determining the number of variables is di fficult because maximum likelihood estimates are empirically under-identi fied when more ... -
Bayesian model averaging for mathematics achievement growth rate trends
(University of Missouri--Columbia, 2022)In this study, we investigated the use of Bayesian model averaging (BMA) for latent growth curve models. We used the Trends in International Mathematics and Science Study (TIMSS) to predict growth rates in 8th-grade students' ... -
Empirical likelihood approach estimation of structural equation models
(University of Missouri--Columbia, 2007)This thesis provides a preliminary investigation of empirical likelihood approach estimation of structural equation models. An auxiliary variable approach built on general estimating equation methods in the EL settings is ... -
A mixed model for variance of successive difference of stationary time series : modeling temporal instability in intensive longitudinal data
(University of Missouri--Columbia, 2008)Temporal instability of a stochastic process has been of interest in many areas of behavioral and social science. Recent development in data collection techniques in behavioral and health sciences, such as Ecological ... -
Modeling chronic wasting disease using Gaussian Process Boosting
(University of Missouri--Columbia, 2023)Chronic Wasting Disease (CWD) is a fatal neurological condition that affects cervids (white tail deer, elk, mule deer, etc.). Veterinary epidemiologists at the state and federal level are interested in methods to accurately ... -
Statistical image analysis of photoactivated localization microscopy
(University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Fluorescent microscopy is a traditional way of localizing the biological molecules in the living cells. However, the diffraction limit makes it difficult ... -
Two sample inference for high dimensional mean with application to gene expression data
(University of Missouri--Columbia, 2015)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Motivated by the gene expression analysis from biological science, we consider the two sample problem, where the number of variables is much larger ...