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354
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Wed, 8/5/2020,
10:00 AM -
2:00 PM
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Virtual
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Multivariate Analysis and Graphical Models — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Han Zhang, The University of Alabama
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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
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Sparse Generalized Correlation Analysis and Thresholded Gradient Descent
Sheng Gao, University of Pennsylvania; Zongming Ma, University of Pennsylvania
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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
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Tensor Mixture Model in High Dimensions
Biao Cai, University of Miami; Emma Jingfei Zhang, University of Miami; Wei Sun, Purdue University
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Robust Estimation of High-Dimensional Heavy Tailed Vector Autoregressive Models
Sagnik Halder; George Michailidis, University of Florida
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