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

Activity Details

10 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-505
Challenges and Breakthroughs in Analyzing Big Survey Data — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistics in Marketing
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Eric Slud, University of Maryland
2:05 PM	Bayesian Disaggregation of Spatio-Temporal Community Indicators Estimated via Surveys: An Application to the American Community Survey Veronica J. Berrocal, University of Michigan
2:30 PM	A Model-Based Approach to Predict Employee Compensation Components Presentation Andreea Erciulescu, Westat; Jean Opsomer, Westat
2:55 PM	Relationship Mining in Big Data from Surveys Using Penalization and the Bag-Of-Little-Bootstraps Snigdhansu Chatterjee, University of Minnesota; Benjamin E. Bagozzi, University of Delaware; Ujjal Kumar Mukherjee, University of Illinois; Xuetong Sun, University of Minnesota
3:20 PM	Regression Composite Estimation for Current Population Survey Presentation Yang Cheng, US Census Bureau; Daniel Bonnery, University of Maryland and Maryland Longitudinal Data System Center ; Partha Lahiri, University of Maryland, College Park; Timothy Trudell
3:45 PM	Floor Discussion

51 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-210/212
Making Sense of Discrete Data: Challenges, Inferences and Applications — Invited Papers
Social Statistics Section, Business and Economic Statistics Section, Section on Statistics in Marketing
Organizer(s): Dungang Liu, University of Cincinnati
Chair(s): Chris Wild, University of Auckland
4:05 PM	Clustering Language Features: Scaling up from Micro to Macro Variation Presentation Ivy Liu, Victoria University of Wellington; Richard Arnold, Victoria University of Wellington; Miriam Meyerhoff, Victoria University of Wellington; Shirley Pledger, Victoria University of Wellington; Lingyu Li, Victoria University of Wellington
4:35 PM	Assessing Partial Association Between Ordinal Variables: A General Framework Dungang Liu, University of Cincinnati; Shaobo Li, University of Kansas; Yan Yu, University of Cincinnati
5:05 PM	Mediation Analysis via Copula Structural Equation Models for Variables of Mixed Types Peter X.K. Song , School of Public Health, University of Michigan ; Wei Hao, University of Michigan
5:35 PM	Floor Discussion

100 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-709
Pragmatic Randomized Clinical Trials: Challenges and Impact on Clinical Practice and Health Policies — Invited Papers
Health Policy Statistics Section, Biopharmaceutical Section, Section on Statistics in Marketing
Organizer(s): Valentina Bayer, Boehringer Ingelheim
Chair(s): Victoria Gamerman, Boehringer Ingelheim
8:35 AM	Key Elements in the Design of Pragmatic Randomized Clinical Trials Presentation Valentina Bayer, Boehringer Ingelheim
9:00 AM	Estimating the Per-Protocol Effect in Pragmatic Trials Miguel Hernan, Harvard University
9:25 AM	Generalization of Randomized Trial Results with Latent Motivation Effect Andrea B Troxel, NYU School of Medicine; Chenxiang Li, NYU School of Medicine
9:50 AM	Data Sources Used in Pragmatic Clinical Trials: How Do the Puzzle Pieces Fit Together? Vincent Willey, HealthCore
10:15 AM	Floor Discussion

221 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-112
Statistics in Marketing and Advertising: Saying it with Integrity, Accuracy, and Impact — Invited Papers
Section on Statistics in Marketing, Section on Statistical Consulting, Committee on Applied Statisticians
Organizer(s): Suddhasatta Acharyya, Daiichi Sankyo Inc.
Chair(s): Amit Bhattacharyya, Alexion Pharmaceuticals
2:05 PM	Measuring the Causal Effects of Digital Advertising Ziggy Lin, Facebook
2:35 PM	Improved Estimation of View Through Lift from Randomized A/B Tests Kingshuk Roy Choudhury, Amazon; Anuvrat Singh, Amazon
3:05 PM	Discussant: Suddhasatta Acharyya, Daiichi Sankyo Inc.
3:35 PM	Floor Discussion

384 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-504
Artificial Intelligence Meets Behavioral Science: Innovations in Discovering and Leveraging Nudges — Invited Papers
Section on Statistics in Marketing, Business and Economic Statistics Section, Institute for Operations Research and the Management Sciences
Organizer(s): Ying Zhu, UC San Diego
Chair(s): Ying Zhu, UC San Diego
2:05 PM	Visual Listening In: Extracting Brand Image Portrayed on Social Media Liu Liu, University of Colorado Boulder - Leeds School of Business; Daria Dzyabura, New York University Stern School of Business; Natalie Mizik, University of Washington - Foster School of Business
2:20 PM	WITHDRAWN: Personalized Free Trials: Design and Evaluation Ebrahim Barzegary, University of Washington; Hema Yoganarasimhan, University of Washington; Abhishek Pani, Adobe Systems Incorporated
2:35 PM	How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility Presentation 1 Presentation 2 Allison Chaney, Duke University; Brandon Stewart, Princeton University; Barbara Engelhardt, Princeton University
2:50 PM	What Is a Good Explanation for Artificial Intelligence Decisions? a Human's Guide to Understanding Machine Learning Output Presentation Tong (Joy) Lu, Carnegie Mellon University; Dokyun Lee, Carnegie Mellon University; Taewan Kim, Carnegie Mellon University; David Danks, Carnegie Mellon University
3:05 PM	Harnessing the Small Victories: Empirical Evidence from a Calorie and Weight Loss Tracking Application Kosuke Uetake, Yale University ; Nathan Yang, McGill University
3:20 PM	Floor Discussion

219222	Tue, 7/30/2019, 6:00 PM - 7:30 PM	H-Agate C
Statistics in Marketing Section Annual Business Meeting and Mixer — Other Cmte/Business
Section on Statistics in Marketing
Chair(s): Victoria Gamerman, Boehringer Ingelheim

530	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistics in Marketing — Contributed Poster Presentations
Section on Statistics in Marketing
Chair(s): Wendy Meiring, University of California At Santa Barbara
97:	Classification of Social Media Users Through Generalized Multilevel Functional Model Anthony Weishampel, North Carolina State University; Bill Rand, North Carolina State University; Ana-Maria Staicu, North Carolina State University

568 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-703
Experimentation at Scale: Current Challenges in A/B Testing — Topic Contributed Panel
Section on Statistics in Marketing, Section on Statistical Learning and Data Science, Committee on Applied Statisticians
Organizer(s): Martin Tingley, Netflix
Chair(s): Dean Eckles, MIT
2:05 PM	Experimentation at Scale: Current Challenges in A/B Testing Presentation
Panelists:	David Afshartous, Amazon Eytan Bakshy, Facebook Kathy Zhong, Google Martin Tingley, Netflix
3:40 PM	Floor Discussion

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

604 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-112
Bayesian Inference in Discrete Choice Analysis of Consumer Behavior — Topic Contributed Papers
Business and Economic Statistics Section, Section on Bayesian Statistical Science, Section on Statistics in Marketing
Organizer(s): Kali Chowdhury, University of California, Irvine
Chair(s): Imran Currim, University of California, Irvine
8:35 AM	Flexible Functional Specification in Hierarchical Bayesian Estimation of Discrete Choices Kali Chowdhury, University of California, Irvine
8:55 AM	A Flexible Method for Demand Forecasting with Structural Decomposition Presentation Mingyu Joo, UC Riverside; Chul Kim, Baruch College (CUNY); Dongsoo Kim, Ohio State University
9:15 AM	A Model for Built Environment Effects on Mode Usages Presentation Kai Yoshioka, University of California, Irvine; Tomomi Miyazaki, Kobe University
9:35 AM	Discussant: Cheryl Hild, Lincoln Memorial University
9:55 AM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association