• Bayes factor consistency in linear models when p grows with n 

    Guo, Ruixin, 1983- (University of Missouri--Columbia, 2009)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation examines consistency of Bayes factors in the model comparison problem for linear models. Common approaches to Bayesian analysis of ...
  • Bayesian semiparametric spatial and joint spatio-temporal modeling 

    White, Gentry, 1972- (University of Missouri--Columbia, 2006)
    Over the past decades a great deal of effort has been expended in the collection and compilation of high quality data on cancer incidence and mortality in the United States. These data have largely been used in the creation ...
  • Bayesian smoothing spline analysis of variance models 

    Cheng, Chin-I (University of Missouri--Columbia, 2009)
    Based on the pioneering work by Wahba (1990) in smoothing splines for nonparametric regression, Gu (2002) decomposed the regression function based on a tensor sum decomposition of inner product spaces into orthogonal ...
  • Spatially adaptive priors for regression and spatial modeling 

    Yue, Yu, 1981- (University of Missouri--Columbia, 2008)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The smoothing splines and penalized regression splines (P-splines) are popular nonparametric regression methods for curve fitting problems, and the ...