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425 Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-203AB
Nonparametric Methods for Dependent Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Md Jobayer Hossain, Nemours Children's Health
10:35 AM Dimension-Agnostic Change Point Testing and Estimation
Hanjia Gao, University of Illinois at Urbana-Champaign; Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:50 AM L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM
Jiaqi Li, Washington University in St. Louis; Likai Chen, Washington University in Saint Louis; Weining Wang, University of York; Wei Biao Wu, University of Chicago
11:05 AM Tilted Density Function Estimation: On the Bickel-Rosenblatt Test for Nonlinear Autoregressive Models
Yan Su, Wright State University; Shuxia Sun, Wright State University; Fuxia Cheng, Illinois State University
11:20 AM Prediction and Uncertainty Quantification of Non-Gaussian Spatial Processes with Applications to Large-Scale Flooding in Urban Areas.
Sweta Rai, Colorado School of Mines
11:35 AM Sample Splitting Based Inference for Multi-Dimensional Parameter in Time Series
Yi Zhang, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
11:50 AM Inference for Dependent Error Functional Data with Application to Event Related Potentials
Kun Huang, Tsinghua University; Sijie Zheng, Tsinghua University; Lijian Yang, Tsinghua University
12:05 PM Modeling Longitudinal Skewed Functional Data
Mohammad Samsul Alam, North Carolina State University; Ana-Maria Staicu, North Carolina State University