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Showing 1 to 3 of 3 for “"smoothly clipped absolute deviation (SCAD)"”.

  1. Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement

    … with the penalized regression method: LASSO and SCAD, one can perform variable screening for the censored data at quantiles of interest. Furthermore, we establish the asymptotic property, and illustrate the methodology in the context of ultrasound safety study.

    uiuc Repository record for Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement (opens in a new tab)

  2. Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data

    Longitudinal data arise frequently in many studies where measurements are obtained from a subject repeatedly over time. Consequently, measurements within a subject are correlated. We address two rather important but challenging issues in this thesis: mixed-effect modeling with unspecified random …

    uiuc Repository record for Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data (opens in a new tab)

  3. Model selection for correlated data and moment selection from high-dimensional moment conditions

    High-dimensional correlated data arise frequently in many studies. My primary research interests lie broadly in statistical methodology for correlated data such as longitudinal data and panel data. In this thesis, we address two important but challenging issues: model selection for correlated data …

    uiuc Repository record for Model selection for correlated data and moment selection from high-dimensional moment conditions (opens in a new tab)