Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

56 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-505
Modern Methods for Structured and Dynamically Dependent Data — Invited Papers
Business and Economic Statistics Section, JBES-Journal of Business & Economic Statistics, Business Analytics/Statistics Education Interest Group
Organizer(s): Daniel R Kowal, Rice University
Chair(s): Daniel R Kowal, Rice University
4:25 PM	Introducing the Mean Locally Stationary Wavelet Process and Its Application to Business Data Presentation Rebecca Killick, Lancaster University, UK; Euan McGonigle, Lancaster University; Matthew Nunes, University of Bath
4:45 PM	Spectral analysis of a class of high-dimensional linear processes Debashis Paul, University of California, Davis
5:05 PM	Autoregressive Models for Large Matrix Series Han Xiao, Rutgers University
5:25 PM	Discussant: Katherine Ensor, Rice University
5:45 PM	Floor Discussion

110 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-605
Data in the 21st Century: Corporate and Non-Profit Decision Making in the Digital Age — Invited Papers
Business Analytics/Statistics Education Interest Group, Section on Statistics and Data Science Education, Business and Economic Statistics Section
Organizer(s): Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
Chair(s): Jennifer Lewis Priestley, Kennesaw State University
8:35 AM	From Statistics to Artificial Intelligence: The Evolution of Data Science Presentation Robert J McGrath, University of New Hampshire
8:50 AM	New Statistical Approaches to Financial Time Dependent Information Doo Young Kim, Sam Houston State University
9:05 AM	New Approaches to Old Problems: Interdisciplinary Approaches to Fighting Cancer in the 21st Century Ke Meng, UNC Chapel Hill
9:20 AM	21st Century Equity Markets: Evaluating, Assimilating, and Inte- Grating Information in Real-Time Presentation Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
9:35 AM	Crafting Manifolds: Application Lifecycle Analysis in a Mobile World Presentation Julius D'souza, Google
9:50 AM	Data in the 21st Century: Corporate and Non-Prot Decision Making in the Digital Age Ryan Kania, Advocates for World Health
10:05 AM	Floor Discussion

163 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-708
Methods for Complex Data: The Next Generation — Topic Contributed Papers
Business and Economic Statistics Section, Section on Statistical Learning and Data Science, Business Analytics/Statistics Education Interest Group, IMS
Organizer(s): David Matteson, Cornell University
Chair(s): Ines Wilms, Maastricht University
10:35 AM	Structured Shrinkage Priors Presentation Maryclare Griffin, Cornell University Center for Applied Mathematics; Peter Hoff, Duke University
10:55 AM	High-Dimensional Causal Discovery with Non-Gaussian Data Presentation Y. Samuel Wang, University of Chicago; Mathias Drton, University of Washington
11:15 AM	Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis Presentation Sven Serneels, Aspen Technology
11:35 AM	Learning Local Dependence in Ordered Data Guo Yu, University of Washington; Jacob Bien, University of Southern California
11:55 AM	Sequential Change-Point Detection for High-Dimensional and Non-Euclidean Data Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
12:15 PM	Floor Discussion

356	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Business Analytics/Statistics Education Interest Group — Contributed Poster Presentations
Business Analytics/Statistics Education Interest Group
Chair(s): Wendy Meiring, University of California At Santa Barbara
47:	Estimating Partitions of the Distribution of P-Values Robert Pavur, University of North Texas; Kellie Keeling, University of Denver

602 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-201
Game Analytics: How Data Science Transforms the Game Industry — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics in Marketing, Committee on Applied Statisticians, Business Analytics/Statistics Education Interest Group
Organizer(s): Qiaolin Chen, Tencent
Chair(s): Dong Xi, Novartis
8:35 AM	Machine Learning and Big Data Analytics at Tencent Games Qiaolin Chen; Xu Cheng, Tencent; Jiachun Du, Tencent; Botao Li, Tencent; Zeng Zhao, Tencent
8:55 AM	Combining Advanced Statistics and Machine Learning to Improve Games at Ubisoft Presentation Antoine Rebecq; Jean-Michel Daignan, Ubisoft
9:15 AM	Product Diffusion on a Dynamic Matching Platform: The Case of a MMOG Chenyu Yang, University of Rochester
9:35 AM	Online Skill Rating Algorithms Nicolas Grenon-Godbout; Jonathan Dumas , Ubisoft; Simon Fontaine, Ubisoft; Gabrielle Rit, Ubisoft; Timothy Park, Ubisoft
9:55 AM	Discussant: Xiaoyang Yang, Riot Games
10:15 AM	Floor Discussion

JSM 2019 Online Program