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Activity Details

354 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Multivariate Analysis and Graphical Models — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Han Zhang, The University of Alabama
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data
Aramayis Dallakyan, Texas A&M University; Mohsen Pourahmadi, Texas A&M University
Sparse Generalized Correlation Analysis and Thresholded Gradient Descent
Sheng Gao, University of Pennsylvania; Zongming Ma, University of Pennsylvania
Smooth Time-Varying Gaussian Graphical Models to Study Disease Progression
Erin Mcdonnell, Columbia University; Shanghong Xie, Columbia University; Karen Marder, Columbia University; Yuanjia Wang, Columbia University
Tensor Mixture Model in High Dimensions
Biao Cai, University of Miami; Emma Jingfei Zhang, University of Miami; Wei Sun, Purdue University
Robust Estimation of High-Dimensional Heavy Tailed Vector Autoregressive Models
Sagnik Halder; George Michailidis, University of Florida