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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

Activity Details


64 * ! 		Sun, 7/31/2016, 4:00 PM - 5:50 PM CC-W184a
The World of Statistical Analysis Professionals — Topic Contributed Papers
Section for Statistical Programmers and Analysts , Section on Statistics in Marketing , Royal Statistical Society , International Chinese Statistical Association , Caucus for Women in Statistics
Organizer(s): Nancy C. Wang, Celerion
Chair(s): Nancy C. Wang, Celerion
4:05 PM Personalized Marketing and the Role of the Statistician in Retail — Rebecca Schulthess, Eastbay/Footlocker.com
4:25 PM When Analytics Meet Marketing: Statistics in Action with Marketing Data — Huimin Liu, Ocwen Financial
4:45 PM Searching for Statistical Evidence of Better Health: Working as a Statistician on the Campus of a Major Academic Health Center — Harlan Sayles, University of Nebraska Medical Center
5:05 PM What Can a Statistician Do at an Airline? — Aleksandra Stein
5:25 PM Expanding the Use of Statistics at a Financial Institution — Kristin Carney, Cabela's
 
 

88 		Sun, 7/31/2016, 6:00 PM - 8:00 PM CC-Hall F1 West
The Extraordinary Power of Data — Invited Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistical Graphics , Section on Statistics in Imaging , Business and Economic Statistics Section , Biometrics Section , ENAR , Section for Statistical Programmers and Analysts , Scientific and Public Affairs Advisory Committee , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistics in Marketing , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Tyler McCormick, University of Washington
1: Communicate Better with R, R Markdown, and Shiny — Garrett Grolemund, RStudio
2: Spectral Filtering for Spatial-Temporal Dynamics — Tian Zheng, Columbia University ; Lu Meng, Columbia University
3: A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data — Mohsen Bahrami, Virginia Tech ; Paul Laurienti, Wake Forest School of Medicine ; Thomas Arcury, Wake Forest School of Medicine ; Sean Simpson, Wake Forest School of Medicine
4: Cascaded High-Dimensional Histograms: A Generative Approach to Density Estimation — Siong Thye Goh, MIT ; Cynthia Rudin, Duke University
5: TV Advertising's Impact on Online Searches — Yonathan Schwarzkopf, Google ; Ying Liu, Google ; Makoto Uchida, Google ; Elissa Lee, Google ; Jim Koehler, Google
6: Modeling Connectivity in High-Dimensional Time Series Data via Factor Analysis — Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
7: Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis — Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University ; Jonathan Gellar, Mathematica Policy Research ; Philip Reiss, New York University/University of Haifa ; Ani Eloyan, Brown University
8: Law, Order, and Algorithms — Sharad Goel, Stanford University
9: Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling — Jessica Hwang, RAND Corporation ; John Adams, Kaiser Permanente ; Susan M. Paddock, RAND Corporation
10: Probabilistic Cause-of-Death Assignment Using Verbal Autopsies — Tyler McCormick, University of Washington ; Sam Clark, University of Washington ; Zehang Li, University of Washington
11: We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data — David G. Robinson, Stack Overflow
12: Data Science at Stitch Fix — Hilary Parker, Stitch Fix
13: Text Mining on Domain Names — Kenneth E. Shirley, Amazon
14: Fighting Fraud with Statistics! — Alyssa Frazee, Stripe
15: Forecasting Seasonal Epidemics with Ensemble Methods and Collective Human Judgment — Logan Conrad Brooks, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
16: Geometric Methods for Network Comparison and Multilevel Modeling — Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University
17: Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity — Manjari Narayan, Rice University ; Genevera Allen, Rice University
18: Estimating the Causal Impact of Recommendation Systems from Observational Data — Amit Sharma, Microsoft Research ; Jake Hofman, Microsoft Research ; Duncan Watts, Microsoft Research
19: The Future of the Journal Biostatistics — Dimitris Rizopoulos, Erasmus University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
20: Sample Size Calculations for Micro-Randomized Trials in MHealth — Peng Liao, University of Michigan ; Ji Sun, University of Michigan ; Susan A. Murphy, University of Michigan
 
 

132 		Mon, 8/1/2016, 8:30 AM - 10:20 AM CC-W192a
Using Social Media, Text Mining, and Behavioral Data to Improve Marketing — Contributed Papers
Section on Statistics in Marketing
Chair(s): Qian Chen
8:35 AM Social Signal Processing: Building Computational Models of Human Behavior in Digital Environments — William Rand, University of Maryland ; David Darmon, Uniformed Services University of the Health Sciences ; Michelle Girvan, University of Maryland
8:50 AM An Online Prediction Framework of Influential Users During Urgent Events on Twitter — Hechao Sun
9:05 AM Room for Improvement: Aspect-Specific Statistical Opinion-Mining of Online Hotel Reviews — Lynd Bacon, LBA/Northwestern University
9:35 AM Competitive Intelligence: Text Mining Unstructured Data from the Internet of Things — James Wisnowski, Adsurgo LLC ; Andrew Karl, Adsurgo LLC
9:50 AM Psychographic Market Segmentation with Very Large Number of Behavioral Factors — Atreyee Majumder, Michigan State University ; Tapabrata Maiti, Michigan State University
10:05 AM Aggregate Propensity Matching in Market Research — Kurt Pflughoeft, MaritzCX ; Sharon Alberg, MaritzCX ; Kurt Salmela, MaritzCX ; Greg Blevins, MaritzCX
 
 

136 		Mon, 8/1/2016, 8:30 AM - 10:20 AM CC-W176b
Survey Modes, Including Web Surveys, Phone, and Multimode Surveys — Contributed Papers
Survey Research Methods Section , Section on Statistics in Marketing
Chair(s): Alfredo Navarro, Nielsen
8:35 AM Estimated Prevalence and Characteristics of Web Users: National Health Interview Survey, 2014-2015 — Meena Khare, CDC/NCHS
8:50 AM Estimating Mail or Web Survey Eligibility for Undeliverable Addresses: A Latent Class Analysis Approach — Paul Biemer, RTI International ; Phil Kott, RTI International ; Joe Murphy, RTI International
9:05 AM Evaluating the Effects of Adding Cell Phone Samples to the Traditional Landline Phone Samples on Prevalence Estimates from a Telephone Call-Back Survey — Xiaoting Qin, CDC ; Hatice S. Zahran, CDC ; Cathy M. Bailey, CDC
9:20 AM Mail Versus Telephone Respondents in a Survey of Minority Populations — Youlian Liao, CDC
9:35 AM What Paradata Can Tell Us About Online Data Reporting by Juvenile Residential Facilities — Suzanne Dorinski, U.S. Census Bureau
9:50 AM Floor Discussion
 
 

155 ! 		Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-W196c
Causal Inference in a Networked World — Topic Contributed Papers
Section on Statistics in Marketing , IMS
Organizer(s): Edoardo M. Airoldi, Harvard
Chair(s): Daniel Sussman, Harvard
10:35 AM Potential Outcome Regression with Interference — Joseph Rigdon, Stanford University ; Michael Hudgens, The University of North Carolina at Chapel Hill
10:55 AM Peer Encouragement Designs in Causal Inference with Interference — Hyunseung Kang, Stanford University
11:15 AM Model-Assisted Design of Experiments in the Presence of Network-Correlated Outcomes — Guillaume Basse, Harvard
11:35 AM Matching Methods for Large Networks — Alexander Volfovsky, Harvard
11:55 AM Inference in the Presence of Network Dependence Due to Contagion — Elizabeth Ogburn, The Johns Hopkins University
12:15 PM Floor Discussion
 
 

186 		Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-Hall F1 West
Topic-Contributed Poster Presentations: Government Statistics Section — Topic Contributed Poster Presentations
Government Statistics Section , Section on Statistics in Marketing
Chair(s): Nasrine Bendjilali, Rowan University
1: Exploring the Gig Economy Using a Web-Based Survey: Measuring the Online 'and' Offline Side Work-for-Pay Activity+ — Barbara J. Robles, Federal Reserve Board ; Marysol G. McGee, Federal Reserve Board
2: Consumer Use of Mobile Financial Services: Results from the 2012--2015 Surveys and Reports — Alexandra Brown
3: Survey of Household Economics and Decision Making (SHED): Statistical and Trend Analysis — Logan Thomas, Federal Reserve Board ; Anna Tranfaglia, Federal Reserve Board ; Jeff Larrimore, Federal Reserve Board ; Sam Dodini, Federal Reserve Board
4: In the Shadow of the Great Recession: Experience and Perspectives of Young Workers — Barbara J. Robles, Federal Reserve Board ; Heidi Kaplan, Federal Reserve Board
 
 

233 * 		Mon, 8/1/2016, 2:00 PM - 3:50 PM CC-W184d
Statistics for Business Process Improvement — Topic Contributed Papers
Business and Economic Statistics Section , Section on Statistics in Marketing
Organizer(s): Beatriz E. Etchegaray Garcia, IBM Research
Chair(s): Beatriz E. Etchegaray Garcia, IBM Research
2:05 PM Optimizing the Customer Experience Using Statistical Methods — Cheryl Flynn ; David Poole, AT&T Labs Research ; DeDe Paul, AT&T Labs Research
2:25 PM Quantifying Tail Risk in Health Insurance Pools with Extreme Value Theory — Grant Weller, Savvysherpa
2:45 PM Hierarchical Time Series Forecasting — Julie Novak, IBM ; Beatriz E. Etchegaray Garcia, IBM Research ; Yasuo Amemiya, IBM Research
3:05 PM Floor Discussion
 
 

213709 		Tue, 8/2/2016, 7:30 AM - 8:30 AM CC-N131
Section on Statistics in Marketing Executive Committee Meeting (Closed) — Other Cmte/Business
Section on Statistics in Marketing
Chair(s): Kinshuk Jerath, Columbia University
 
 

292 * ! 		Tue, 8/2/2016, 8:30 AM - 10:20 AM CC-W183c
Online Experimentation: What Is It, Why Use It, and How to Do It Well? — Invited Papers
Section on Physical and Engineering Sciences , Section on Statistics in Marketing , Quality and Productivity Section
Organizer(s): Xinwei Deng, Virginia Tech
Chair(s): Xinwei Deng, Virginia Tech
8:35 AM Multifactor Online Testing — David M. Steinberg, Tel Aviv University ; Tamar Haizler, Tel Aviv University
9:00 AM Statistical Design for Online Experiments Across Desktops, Tablets, Smartphones (and Maybe Wearable Gadgets) — Peter Qian, University of Wisconsin - Madison ; Soheil Sadeghi, University of Wisconsin - Madison ; Neeraj Arora, University of Wisconsin - Madison
9:25 AM How NOT to Do A/B Testing — David Charles Draper, University of California at Santa Cruz
9:50 AM Discussant: David Woods, University of Southampton
10:10 AM Floor Discussion
 
 

301 * ! 		Tue, 8/2/2016, 8:30 AM - 10:20 AM CC-W184d
Statistical Challenges in Big Data, Finance, and Business Analytics — Topic Contributed Papers
Business and Economic Statistics Section , Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Organizer(s): Kai-Sheng Song , University of North Texas
Chair(s): Ta-Hsin Li, IBM T. J. Watson Research Center
8:35 AM Statistical Challenges in Big Data Analysis of the Hotel Industry — Kai-Sheng Song , University of North Texas
8:55 AM Unsupervised Anomaly Detection in Time Series with Application in Electricity Demand Forecasting — Bei Chen, IBM Research ; Mathieu Sinn, IBM Research ; Ulrike Fischer , IBM Research
9:15 AM Marketing Market Value at Risk — Zhengjun Zhang, University of Wisconsin - Madison ; Zhicheng Wang, Peking University ; Yu Chen, University of Science and Technology of China
9:35 AM Least Tail-Trimmed Absolute Deviation Estimation for Autoregressions with Infinite/Finite Variance — Rongning Wu, Baruch College
9:55 AM Floor Discussion
 
 

335 * ! 		Tue, 8/2/2016, 10:30 AM - 12:20 PM CC-W190b
Statistics: The Secret Weapon of Web Giants — Invited Papers
Section on Statistics in Marketing
Organizer(s): Madeleine Cule, Google Life Sciences
Chair(s): Marianna Dizik, Google
10:35 AM Creating Listener Segments at Pandora — Sam Lendle, Pandora
11:00 AM Dealing with Credit Data: The Challenges and Statistical Solutions — Giulianna Perrotti dos Reis, Credit Sesame
11:25 AM Friendship Paradoxes and the Quora Downvoting Paradox — Shankar Iyer, Quora ; Paula Griffin, Quora ; Olivia Angiuli, Quora
11:50 AM Predictive Analytics in Internet Development — Alex Gilgur, Google/Alphabet ; Fred Xue, Google/Alphabet
12:15 PM Floor Discussion
 
 

442 		Tue, 8/2/2016, 2:00 PM - 3:20 PM CC-Hall F1 West
Contributed Poster Presentations: Section on Statistics in Marketing — Contributed Poster Presentations
Section on Statistics in Marketing
Chair(s): Genevera Allen, Rice University
12: Bayesian Method for Causal Inference in High-Dimensional Time Series with Applications to Sales Data — BO NING
 
 

213583 		Tue, 8/2/2016, 5:00 PM - 6:00 PM H-PDR3
Section on Statistics in Marketing Business Meeting — Other Cmte/Business
Section on Statistics in Marketing
Chair(s): Kinshuk Jerath, Columbia University
 
 

213684 		Tue, 8/2/2016, 6:00 PM - 7:30 PM H-PDR3
Section on Statistics in Marketing Social Mixer — Other Cmte/Business
Section on Statistics in Marketing
Chair(s): Kinshuk Jerath, Columbia University
 
 

509 * ! 		Wed, 8/3/2016, 10:30 AM - 12:20 PM CC-W195
Social Networks as the Unit of Observation — Invited Papers
Social Statistics Section , Section on Statistics in Marketing , Survey Research Methods Section
Organizer(s): Tracy Sweet, University of Maryland
Chair(s): Brian W. Junker, Carnegie Mellon University
10:35 AM Using Feature Vectors to Cluster Social Networks — Tracy Sweet, University of Maryland ; David Sungjun Choi, Carnegie Mellon University ; Gabrielle Flynt, Bucknell University
11:00 AM Modeling the Effects of Network Attributes on Subgroup Integration — Qiwen Zheng, University of Maryland
11:25 AM Longitudinal Latent Space Network Model with VAR Evolution — Samrachana Adhikari, Carnegie Mellon University ; Brian W. Junker, Carnegie Mellon University
11:50 AM Causal Mediation Analysis of Social Networks — Adam Chaim Sales, The University of Texas at Austin ; Tracy Sweet, University of Maryland ; Brian W. Junker, Carnegie Mellon University
12:15 PM Floor Discussion
 
 

Register 572 		Wed, 8/3/2016, 12:30 PM - 1:50 PM CC-W375a
Section on Statistics in Marketing P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Marketing
Organizer(s): Jeff Dotson, Brigham Young University
WL22: Segmentation Analysis in Market Research — Joseph Retzer, ACT Market Research Solutions ; Ewa Nowakowska, GfK
 
 

588 * ! 		Wed, 8/3/2016, 2:00 PM - 3:50 PM CC-W183b
Estimation of Heterogeneous Treatment Effects — Invited Papers
Business and Economic Statistics Section , Section on Statistics in Marketing
Organizer(s): Craig A. Rolling, University of Oregon
Chair(s): Craig A. Rolling, University of Oregon
2:05 PM Estimation and Inference of Treatment Effect Heterogeneity in Randomized Experiments — Max H. Farrell, The University of Chicago Booth School of Business
2:30 PM Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests — Susan Athey, Stanford University ; Stefan Wager, Stanford University
2:55 PM Making Sense of Digital Experiments with Bayesian Nonparametrics — Matt Taddy, Chicago Booth
3:20 PM Sufficient Dimension Reduction for Treatment Effect Estimation — Wenbo Wu, University of Oregon ; Craig A. Rolling, University of Oregon
3:45 PM Floor Discussion
 
 

652 		Thu, 8/4/2016, 8:30 AM - 10:20 AM CC-W192b
Big Data and Data Science Education — Contributed Papers
Section on Statistical Education , Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Chair(s): Gayla R. Olbricht, Missouri University of Science and Technology
8:35 AM Teaching Students to Work with Big Data Through Visualizations — Shonda Kuiper, Grinnell College
8:50 AM A Data Visualization Course for Undergraduate Data Science Students — Silas Bergen, Winona State University
9:05 AM Intro Stats for Future Data Scientists — Brianna Heggeseth, Williams College ; Richard De Veaux, Williams College
9:20 AM An Undergraduate Data Science Program — James Albert, Bowling Green State University ; Maria Rizzo, Bowling Green State University
9:35 AM Modernizing an Undergraduate Multivariate Statistics Class — David Hitchcock, University of South Carolina ; Xiaoyan Lin, University of South Carolina ; Brian Habing, University of South Carolina
9:50 AM Business Analytics and Implications for Applied Statistics Education — Samuel Woolford, Bentley University
10:05 AM DataSurfing on the World Wide Web: Part 2 — Robin Lock, St. Lawrence University
 
 

701 		Thu, 8/4/2016, 10:30 AM - 12:20 PM CC-W196a
Advanced Statistical Methods for Marketing — Contributed Papers
Section on Statistics in Marketing
Chair(s): William Rand, University of Maryland
10:35 AM Using Random Forest to Create Adstock Predictors — Kathleen Bell, LB Personifi ; Scott Dachtyl, LB Personifi ; Rob Howie, Hallmark
10:50 AM Weighted Dirichlet Process Mixture GARCH Model for Predicting Stock Price — Inyoung Kim, Virginia Tech ; Peng Sun, Virginia Tech
11:05 AM Design and Analysis of Discrete Choice Experiments in the Presence of Profile Order Effects Within Choice Sets — Roselinde Kessels, University of Antwerp ; Robert Mee, University of Tennessee
11:20 AM MaxDiff in Analytical Closed-Form Solution on Aggregate and Individual Levels — Stan Lipovetsky, GfK North America ; Michael W. Conklin, GfK North America
11:35 AM Causal Models in Estimation of the Advertising — Igor Mandel, Telmar
11:50 AM Does Improvement of Customer Satisfaction Always Create Shareholder Value? An Empirical Study of the American Customer Satisfaction Index — Qian Chen ; Duncan Fong, Penn State University ; Rui Wang, Peking University ; Zhe Chen, Google
12:05 PM Scalable High-Performance Prediction with XGBoost — Ewa Nowakowska, GfK ; Joseph Retzer, ACT Market Research Solutions
 
 
 
 
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