• Bayesian cusp regression and linear mixed model 

    Hou, Jiayi (University of Missouri--Columbia, 2022)
    First of all, we introduce the Bayesian mixture way of solving the Cusp Catastrophe model, which is designed to deal with piece-wise continuous outcomes. Simulation and real data analysis show that the new method beats the ...
  • Bayesian partition model for identifying hypo- and hyper- methylation 

    Wang, Henan (University of Missouri--Columbia, 2017)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This dissertation introduces MethyBayes, a full Bayesian partition model for identifying hypo- and hypermethylated loci. The main interest of study on ...