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Activity Details
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501
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Thu, 8/6/2020,
10:00 AM -
2:00 PM
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Virtual
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Time Series Methods — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Ignacio Segovia-Dominguez, The University of Texas at Dallas
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Dynamic structure estimation of time-varying networks
Ahyoung Amy Kim, The University of Arizona; Hongseok Ko, The University of Arizona; Xueying Tang; Hao Helen Zhang, University of Arizona
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Fast Functional Change Point Detection with Total Variation Denoising
Trevor Harris, University of Illinois at Urbana-Champaign; Bo Li, University of Illinois at Urbana-Champaign; Derek Tucker, Sandia National Lab
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A Dynamic Neural ODE Model for Nonlinear Time Series
Yijia Liu, Purdue University; Lexin Li, University of California, Berkeley; Xiao Wang, Purdue University
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Modeling Spiky Functional Data with Derivatives of Smooth Functions in Function-On-Function Regression
Ruiyan Luo
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Completion of Partially Observed Curves with Application to Classification of Bovid Teeth
Gregory Matthews, Loyola University Chicago; Ofer Harel, University of Connecticut; George Thiruvathukal, Loyola University Chicago; Juliet Brophy, Louisiana State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, University of Nottingham
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High-Dimensional Dynamic Pricing with Online Tuning
Chi-Hua Wang; Zhanyu Wang, Purdue University; Wei Sun, Purdue University; Guang Cheng, Purdue University
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