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Activity Details

30 Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-344
Bayesian Modeling and Time Series — Contributed Papers
Business and Economic Statistics Section
Chair(s): Brian Sloboda, University of Phoenix, Center for Management and Entrepreneurship (CME)
2:05 PM Nonparametric Bayesian Survival Models in a Demand Forecasting Application Ta-Hsin Li, IBM Watson Research Center
2:20 PM A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organization Julie Novak, IBM ; Beatriz Etchegaray, IBM Research
2:35 PM Predictive Modeling with Composite of Popular Distributions Min Deng, Towson University ; Mostafa S Aminzadeh, Towson University
2:50 PM Conditional Maximum Likelihood Estimation for a Class of Observation-Driven Time Series Models for Count Data Yunwei Cui, Towson University ; Qi Zheng, University of Louisville
3:05 PM A Least Deviation Estimation Approach for Multivariate Regression Silvey Shamsi, Ball State University ; Mian Adnan, Ball State University ; Rahmatullah Imon, Ball State University
3:20 PM Testing High-Dimensional Mean Under Weak Serial Dependence Runmin Wang, University of Illinois at Urbana-Champaign ; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
3:35 PM Combining Unit Root Tests with Machine Learning Techniques Edward Herranz ; James Gentle, George Mason University
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