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173 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Recent Advances in Statistical Learning and Missing Data Handling — Contributed Papers
Korean International Statistical Society, Section on Statistical Learning and Data Science
Chair(s): Yimin Zhang, Villanova University
Estimating High-Dimensional Covariance and Precision Matrices Under General Missing Dependence
Seongoh Park, The Research Institute of Basic Sciences at Seoul National University; Xinlei (Sherry) Wang, Southern Methodist University; Johan Lim, Seoul National University
A Generalized Kernel Two-Sample Test
Hoseung Song, University of California, Davis; Hao Chen, University of California, Davis
Imputation Approach Based on Latent Class Trajectory for Handling Missing Values in Self-Reported Data
MinJae Lee, University of Texas Southwestern Medical Center
Variable Selection with Metaheuristic Methods
Myung Soon Song, Kutztown University of Pennsylvania; Francis J Vasco, Kutztown University of Pennsylvania; Yun Lu, Kutztown University of Pennsylvania; Kyle Callaghan, Kutztown University of Pennsylvania
Sparse Machine Learning Methods for Regression with Regularized Tensor Product Kernel
Hang Yu, University of North Carolina at Chapel Hill; Yuanjia Wang, Columbia University; Donglin Zeng, University of North Carolina at Chapel Hill