Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: forecasting returned 25 record(s)
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Monday, 08/01/2016
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What-If Analysis and Goal-Seek Analysis for Prescriptive Time Series Forecasting
Jane Chu, IBM ; Jean Francois Puget, IBM
11:55 AM
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Forecasting Using Sparse Cointegration
Ines Wilms; Christophe Croux, KU Leuven
2:35 PM
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Hierarchical Time Series Forecasting
Julie Novak, IBM; Beatriz E. Etchegaray Garcia, IBM Research; Yasuo Amemiya, IBM Research
2:45 PM
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Optimal Reconciliation of Constrained and Unconstrained Apparel Demand Forecasts Using a Hierarchical Time Series Approach
Ginger Holt, Walmart Labs
3:05 PM
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Next-Generation Flow Field Forecasting: Organizing and Searching Historical Time Series Data Using CART
Kyle Caudle, South Dakota School of Mines and Technology; Michael Frey, Bucknell University; Patrick Fleming, South Dakota School of Mines and Technology
3:05 PM
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Information Sharing in Supply Chains
Vladimir Kovtun, Yeshiva University Sy Syms School of Business; Avi Giloni, Sy Syms School of Business; Clifford Hurvich, New York University Stern School of Business
3:35 PM
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Tuesday, 08/02/2016
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Decouple/Recouple: Dynamic Graphical Modeling and Time Series Forecasting
Mike West, Duke University; Lutz Gruber, QuantCo
8:35 AM
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Developing an Index-Based Methodology to Forecast the Integrated Risk of Extreme Weather to Agricultural Production Systems
Nathaniel Kenneth Newlands, Agriculture and Agri-Food Canada
8:35 AM
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Statistical Challenges in Big Data Analysis of the Hotel Industry
Kai-Sheng Song , University of North Texas
8:35 AM
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Unsupervised Anomaly Detection in Time Series with Application in Electricity Demand Forecasting
Bei Chen, IBM Research; Mathieu Sinn, IBM Research; Ulrike Fischer , IBM Research
8:55 AM
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Autoregression on Multiple, Adaptively Detected Timescales for the Modeling of High-Frequency Returns
Rafal Baranowski, London School of Economics; Piotr Fryzlewicz, London School of Economics
9:25 AM
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Mixture of Forecasting Models with an Application on Solar Energy Forecasting
YoungDeok Hwang, IBM T. J. Watson Research Center; Siyuan Lu, IBM T. J. Watson Research Center; Eric Wang, Duke University
11:15 AM
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Pipeline Analytics for Demand Forecasting
Ta-Hsin Li, IBM T. J. Watson Research Center
11:35 AM
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Predictive Analytics in Internet Development
Alex Gilgur, Google/Alphabet; Fred Xue, Google/Alphabet
11:50 AM
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Thursday, 08/04/2016
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HVAR: High-Dimensional Forecasting via Interpretable Vector Autoregression
David Matteson, Cornell University; William B. Nicholson, Cornell University ; Jacob Bien, Cornell University
9:25 AM
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Hurricane Power Outage Forecasting
Seth Guikema, University of Michigan; Steven M. Quiring, Texas A&M University
9:35 AM
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Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities
Ivo Dinov, Statistics Online Computational Resource
10:05 AM
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Harnessing the Power of Twitter with Offline Contact Networks for Probabilistic Flu Forecasting
Kusha Nezafati, The University of Texas at Dallas; Leticia Ramirez-Ramirez, Mexico Autonomous Institute of Technology; Yulia R. Gel, The University of Texas at Dallas
10:55 AM
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Can Wikipedia Improve Flu Forecasts in the United States?
Dave Osthus, Los Alamos National Laboratory; Reid Priedhorsky, Los Alamos National Laboratory; Jim Gattiker, Los Alamos National Laboratory; Sara Del Valle, Los Alamos National Laboratory
11:15 AM
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Forecasting of Cases for Climate Sensitive Mosquito-Borne Diseases Using Online/Social Media Information
Lilia Leticia Ramirez Ramirez, Centro de Investigacion en Matematicas; Yulia R. Gel, The University of Texas at Dallas; Vyacheslav Lyubchich, University of Maryland Center for Environmental Science
11:35 AM
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Using Power Laws to Validate Survey and Universe Estimates
Brett Baden, Nielsen
11:35 AM
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