Browsing Department of Statistics (MU) by Thesis Advisor "Chakraborty, Sounak"
Now showing items 1-4 of 4
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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 non-linear methods for survival analysis and structural equation models
(University of Missouri--Columbia, 2014)High dimensional data are more common nowadays, because the collection of such data becomes larger and more complex due to the technology advance of the computer science, biology, etc. The analysis of high dimensional data ... -
Bayesian variable selection in parametric and semiparametric high dimensional survival analysis
(University of Missouri--Columbia, 2011)In this dissertation, we propose several Bayesian variable selection schemes for Bayesian parametric and semiparametric survival models for right-censored survival data. In the rst chapter we introduce a special shrinkage ... -
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 ...