• Bayesian hierarchical models for the recognition-memory experiments 

    Lin, Xiaoyan, 1978- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Bayesian hierarchical probit models are developed for analyzing the data from the recognition-memory experiment in Psychology. Both informative priors ...
  • Bayesian spatial analysis with application to the Missouri Ozark Forest ecosystem project 

    Zhang, Jing, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Bayesian hierarchical framework brings more flexibility by accounting for variation from different levels and improves the estimation of parameters as ...
  • Semiparametric analysis of multivariate longitudinal data 

    Zhu, Liang, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Longitudinal studies are conducted widely in fields such as agriculture and life sciences, business and industry, demography and other social sciences, ...
  • Spatially adaptive priors for regression and spatial modeling 

    Yue, Yu, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The smoothing splines and penalized regression splines (P-splines) are popular nonparametric regression methods for curve fitting problems, and the ...
  • Topics in objective bayesian methodology and spatio-temporal models 

    Dai, Luyan, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Three distinct but related topics contribute my work in objective Bayesian methodology and spatio-temporal models. This dissertation starts with the ...