Browsing by Author "Baladandayuthapani, Veerabhadran"

Now showing items 1-5 of 5

    • Bayesian Gaussian Graphical models using sparse selection priors and their mixtures 
      Talluri, Rajesh (2012-10-19)
      We propose Bayesian methods for estimating the precision matrix in Gaussian graphical models. The methods lead to sparse and adaptively shrunk estimators of the precision matrix, and thus conduct model selection and ...
    • Bayesian Joint Modeling of Binomial and Rank Response Data 
      Barney, Bradley (2012-10-19)
      We present techniques for joint modeling of binomial and rank response data using the Bayesian paradigm for inference. The motivating application consists of results from a series of assessments on several primate species. ...
    • Bayesian methods in bioinformatics 
      Baladandayuthapani, Veerabhadran (Texas A&M University, 2007-04-25)
      This work is directed towards developing flexible Bayesian statistical methods in the semi- and nonparamteric regression modeling framework with special focus on analyzing data from biological and genetic experiments. This ...
    • BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA 
      Baladandayuthapani, Veerabhadran; Talluri, Rajesh; Ji, Yuan; Coombes, Kevin; Lu, Yiling; Hennessy, Bryan; Davies, Michael; Mallick, Bani (The Annals of Applied Statistics, 2014)
    • Statistical Methods for Integrating Genomics Data 
      McGuffey, Elizabeth Jennings (2015-04-16)
      This dissertation focuses on methodology to integrate multiplatform genomic data with cancer applications. Such integration facilitates the discovery of biological information crucial to the development of targeted treatments. ...