Now showing items 1-4 of 4

    • Goldsmith, Aaron Seth (2015-12-14)
      We consider the asymptotic behavior of the l^1 regularized least squares estimator (LASSO) for the linear regression model Y=X(beta)+xi with training data (X,Y) in R^{nxp}xR^n, true parameter beta in R^p, and observation ...
    • Huang, Ta-Cheng (2018-05-03)
      This dissertation includes two essays: The first one is on nonparametric inference in causal effect models, and the second one is on nonparametric estimation in financial economics. In the first essay, we propose a ...
    • Lee, Seokho (2010-07-14)
      Principal components analysis (PCA) has been widely used as a statistical tool for the dimension reduction of multivariate data in various application areas and extensively studied in the long history of statistics. One ...
    • Ren, Shaogang (2017-12-11)
      Emerging technologies and digital devices provide us with increasingly large volume of data with respect to both the sample size and the number of features. To explore the benefits of massive data sets, scalable statistical ...