Now showing items 2-4 of 4

    • Latent factor regression models for grouped outcomes 

      Woodard, Dawn; Love, Tanzy; Thurston, Sally; Ruppert, David; Sathyanarayana, Sheela; Swan, Shanna (2012-01-31)
      We consider models for the effect of exposure on multiple outcomes, where the outcomes are nested in domains. We show that random effect models for this nested situation fit into a standard factor model framework, which ...
    • Stationarity of Count-Valued and Nonlinear Time Series Models 

      Woodard, Dawn; Matteson, David; Henderson, Shane (2010-10-28)
      Time series models are often constructed by combining nonstationary effects such as trends with stochastic processes that are believed to be stationary. Although stationarity of the underlying process is typically crucial ...
    • Stationarity of Generalized Autoregressive Moving Average Models 

      Woodard, Dawn; Matteson, David; Henderson, Shane (eCommons@Cornell, 2010-10-28)
      Time series models are often constructed by combining nonstationary effects such as trends with stochastic processes that are believed to be stationary. Although stationarity of the underlying process is typically crucial ...