Browsing by Subject "Reproducing kernel Hilbert space"

Now showing items 1-3 of 3

    • Adaptive Basis Sampling for Smoothing Splines 
      Zhang, Nan (2015-08-03)
      Smoothing splines provide flexible nonparametric regression estimators. Penalized likelihood method is adopted when responses are from exponential families and multivariate models are constructed with certain analysis of ...
    • Infinite dimensional discrimination and classification 
      Shin, Hyejin (Texas A&M University, 2007-09-17)
      Modern data collection methods are now frequently returning observations that should be viewed as the result of digitized recording or sampling from stochastic processes rather than vectors of finite length. In spite of ...
    • Reproducing Kernel Hilbert Space Modeling in Functional Data Analysis and Causal Inference 
      Wang, Jiayi (2022-06-13)
      Reproducing kernel Hilbert space (RKHS) is a popular modeling approach for nonparametric function estimations. This dissertation demonstrates how to incorporate nice properties of RKHS in constructing estimators that have ...