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Activity Details

510 Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-322
New Developments in Time Series Analysis and Change Point Detection — Contributed Papers
Chair(s): Katherine Thompson, University of Kentucky
10:35 AM Implicit Multi-Layer Network for Time Series Data Brandon Park ; Anand N. Vidyashankar, George Mason University ; Tucker McElroy, U. S. Census Bureau
10:50 AM A Time Series Model for Boolean Random Sets Khalil Shafie, University of Northern Colorado ; Mostafa Zahed, University of Northern Colorado
11:05 AM Change Point Estimation in a Dynamic Stochastic Block Model Monika Bhattacharjee, Informatics Institute, University of Florida ; George Michailidis, University of Florida ; Moulinath Banerjee, University of Michigan
11:20 AM Post-Selection Inference for Segmentation Methods in Changepoint Detection Sangwon Hyun, Carnegie Mellon University ; Kevin Lin, Carnegie Mellon University, Statistics Department ; Max G'sell, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
11:35 AM Detecting Discontinuities in a Regression Curve Cidambi Srinivasan, University of Kentucky ; Sisheng Liu, University of Kentucky ; Richard Charnigo, University of Kentucky
11:50 AM Fitting a Stochastic Differential Equation Model to Eye Tracking Data Yunlong Nie, Simon Fraser University
12:05 PM Estimation of GARCH Process by Empirical Likelihood Kenichiro Tamaki, Waseda University
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