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
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