Browsing by Subject "High dimensional"

Now showing items 1-2 of 2

    • Bayesian Gaussian Copula Factor Models for Mixed Data. 

      Murray, Jared S; Dunson, David B; Carin, Lawrence; Lucas, Joseph E (J Am Stat Assoc, 2013-06-01)
      Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent ...

    • PenPC: A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphs. 

      Ha, Min Jin; Sun, Wei; Xie, Jichun (Biometrics, 2016-03)
      Estimation of the skeleton of a directed acyclic graph (DAG) is of great importance for understanding the underlying DAG and causal effects can be assessed from the skeleton when the DAG is not identifiable. We propose a ...