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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


213701 		Sun, 7/31/2016, 7:00 AM - 8:30 AM H-PDR7
Section on Statistical Graphics Executive Committee Meeting (Closed) — Other Cmte/Business
Section on Statistical Graphics
Chair(s): Michael Kane, Yale University
 
 

21 		Sun, 7/31/2016, 2:00 PM - 3:50 PM CC-W175b
Statistical Computing and Graphics Student Awards — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics , Conference on Statistical Practice Steering Committee
Organizer(s): Patrick Breheny, University of Iowa
Chair(s): Patrick Breheny, University of Iowa
2:05 PM A Fully Bayesian Strategy for High-Dimensional Hierarchical Modeling Using Massively Parallel Computing — William Landau, Iowa State University ; Jarad Niemi, Iowa State University
2:25 PM The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R — Xingguo Li ; Tuo Zhao, The Johns Hopkins University ; Tong Zhang, Rutgers University ; Han Liu, Princeton
2:45 PM Nonparametric Signal Procession of Space-Time Trajectory Data: Algorithm for Eye Movement Pattern Recognition — Shinjini Nandi, Temple University ; Subhadeep Mukhopadhyay, Temple University Fox School of Business
3:05 PM Using the Geomnet Package: Visualizing African Slave Trade, 1514--1866 — Samantha Tyner, Iowa State University
3:25 PM Xgboost: An R Package for Fast and Accurate Gradient Boosting — Tong He, Simon Fraser University
3:45 PM Floor Discussion
 
 

54 * 		Sun, 7/31/2016, 4:00 PM - 5:50 PM CC-W183c
Recent Advances in Information Visualization — Invited Papers
Section on Statistical Graphics , Committee on Applied Statisticians
Organizer(s): Yihui Xie, RStudio
Chair(s): Carlos E. Scheidegger, University of Arizona
4:05 PM Using Maximum Topology Matching to Explore Differences in Species Distribution Models — Jorge Poco, University of Washington
4:25 PM Automatic Selection of Partitioning Variables for Small Multiple Displays — Anushka Anand, Tableau Research
4:45 PM Visualizing Statistical Mix Effects and Simpson's Paradox — Zan Armstrong, Freelance Data Visualization
5:05 PM ImMens: Real-Time Visual Querying of Big Data — Zhicheng Liu, Adobe Research
5:25 PM An Algebraic Process for Visualization Design — Gordon Kindlmann, The University of Chicago
5:45 PM Floor Discussion
 
 

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
 
 

106 * ! 		Mon, 8/1/2016, 8:30 AM - 10:20 AM CC-W196b
Applied Data Visualization in Industry and Journalism — Invited Papers
Section on Statistical Graphics , Royal Statistical Society , Section for Statistical Programmers and Analysts , Committee on Applied Statisticians , Statistics Without Borders
Organizer(s): Hilary Parker, Stitch Fix
Chair(s): Hilary Parker, Stitch Fix
8:35 AM Linked Brushing in R — Hadley Wickham, Rice University
8:55 AM Creating Data Visualization Tools at Facebook — Andreas Gros, Facebook
9:15 AM Cocktail Party Horror Stories About Data Vis for Clients — Lynn Cherny, Ghostweather R&D
9:35 AM Visualizing the News at FiveThirtyEight — Andrei Scheinkman, FiveThirtyEight.com
9:55 AM Teaching Data Visualization to 100k Data Scientists: Lessons from Evidence-Based Data Analysis — Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
10:15 AM Floor Discussion
 
 

Register 212 		Mon, 8/1/2016, 12:30 PM - 1:50 PM CC-W375a
Section on Statistical Graphics P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Graphics
Organizer(s): Kenneth E. Shirley, Amazon
ML22: Graphics Software: Favorites and Best Practices — Amelia McNamara, Smith College
 
 

247 * 		Mon, 8/1/2016, 2:00 PM - 3:50 PM CC-W184bc
Toward Better Communication of Information with Statistical Graphics — Contributed Papers
Section on Statistical Graphics , Biopharmaceutical Section , Section for Statistical Programmers and Analysts , Statistics Without Borders
Chair(s): Amelia McNamara, Smith College
2:05 PM Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics — Susan VanderPlas, Nebraska Public Power District ; Heike Hofmann, Iowa State University
2:20 PM Identifying the Effects of Clear Visualization: Reduced Time to a Deeper Understanding of Data — Kathleen Campbell, Saint Joseph's University ; Nicolle Clements, Saint Joseph's University ; Virginia Miori, Saint Joseph's University ; Corey Jones, Saint Joseph's University
2:35 PM The Linked Microposter Plot as a New Means for the Visualization of Eye-Tracking Data — Chunyang Li, Utah State University ; Juergen Symanzik, Utah State University
2:50 PM Optimizing Diffusion Cartograms for Areal Data Using a New Evaluation Method — Xiaoyue Cheng, University of Nebraska - Omaha
3:05 PM Capitalizing on the Power of Dynamic Data Visualization — Neil Polhemus, Statpoint Technologies
3:20 PM What Can We Learn from Exact Calculation of Histograms? — James Weber
3:35 PM Interactive Graphics for Functional Data Analyses — Julia Wrobel, Columbia University ; Jeff Goldsmith, Columbia Mailman School of Public Health
 
 

213577 		Mon, 8/1/2016, 6:00 PM - 8:00 PM H-Stevens Salon A 4
Sections on Statistical Computing and Graphics Mixer — Other Cmte/Business
Section on Statistical Computing , Section on Statistical Graphics
Chair(s): David Poole, AT&T Labs Research
 
 

294 * ! 		Tue, 8/2/2016, 8:30 AM - 10:20 AM CC-W185a
Recent Developments of Graphical Modeling of Data with Complex Structures — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics
Organizer(s): Zhao Ren, University of Pittsburgh, Wen Zhou, Colorado State University
Chair(s): Harold Gomes, Bureau of Labor Statistics
8:35 AM Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions — Yin Xia, The University of North Carolina at Chapel Hill
8:55 AM Testing Independence with High-Dimensional Correlated Samples — Xi Chen ; Weidong Liu, Shanghai Jiao Tong University
9:15 AM Testing for Vector White Noise Using Maximum Cross Correlations — Jinyuan Chang, University of Melbourne ; Qiwei Yao, London School of Economics ; Wen Zhou, Colorado State University
9:35 AM Tuning-free heterogeneity pursuit in massive networks — Zhao Ren, University of Pittsburgh ; Yongjian Kang, University of Southern California ; Yingying Fan, University of Southern California ; Jinchi Lv, University of Southern California
9:55 AM A Neighborhood-Assisted Test for High-Dimensional Mean Vector — Yumou Qiu, University of Nebraska - Lincoln
10:15 AM Floor Discussion
 
 

Register 392 		Tue, 8/2/2016, 12:30 PM - 1:50 PM CC-W375a
Section on Statistical Graphics P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Graphics
Organizer(s): Kenneth E. Shirley, Amazon
TL23: The Use of Color in Statistical Graphics — Kevin Keen, University of Northern British Columbia
 
 

407 * 		Tue, 8/2/2016, 2:00 PM - 3:50 PM CC-W179a
Interactive Visualizations and Web Applications for Analytics — Invited Papers
Section on Statistical Graphics , Section on Statistics in Imaging , Committee on Applied Statisticians , Conference on Statistical Practice Steering Committee , Statistics Without Borders
Organizer(s): Ramnath Vaidyanathan, Alteryx
Chair(s): Heike Hofmann, Iowa State University
2:05 PM Radiant: A Platform-Independent Browser-Based Interface for Business Analytics in R — Vincent Nijs, Rady School of Management
2:20 PM Rbokeh: An R Interface to the Bokeh Plotting Library — Ryan Hafen, Hafen Consulting
2:35 PM Composable Linked Interactive Visualizations in R with Htmlwidgets and Shiny — Joseph Cheng, RStudio
2:50 PM Papayar: A Better Interactive Neuroimage Plotter in R — John Muschelli, The Johns Hopkins University
3:05 PM Interactive and Dynamic Web-Based Graphics for Data Analysis — Carson Sievert, Iowa State University
3:20 PM HTML Widgets: Interactive Visualizations from R Made Easy! — Yihui Xie, RStudio ; Ramnath Vaidyanathan, Alteryx
3:35 PM Floor Discussion
 
 

444 		Tue, 8/2/2016, 2:00 PM - 3:50 PM CC-Hall F1 West
Contributed Poster Presentations: Section on Statistical Graphics — Contributed Poster Presentations
Section on Statistical Graphics
Chair(s): Genevera Allen, Rice University
23: Analyzing Dependence in Stochastic Networks via Graphical Models — Nana Wang, University of California at Davis ; Wolfgang Polonik, University of California at Davis
24: Variations of Q-Q Plots: The Power of Our Eyes! — Adam Loy, Lawrence University ; Lendie Follett, Iowa State University ; Heike Hofmann, Iowa State University
25: Estimating Time-Varying Graphical Models Through a Local Group-Lasso-Type Penalty — Jilei Yang, University of California at Davis ; Jie Peng, University of California at Davis
26: Visualizing the Classification Model Produced by a Projection Pursuit Random Forest — Natalia Da Silva, Iowa State University ; Dianne Cook, Monash University
27: A Visual Approach to Estimating Model Parameters for SAS® NLIN Procedure Using a High-School Geometry Principle to Model Satiety Data with a Weibull Curve — Janis Dugle, Abbott Nutrition/Abbott Labs
 
 

Register 458 		Wed, 8/3/2016, 7:00 AM - 8:15 AM CC-W375a
Section on Statistical Graphics A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Graphics
Organizer(s): Kenneth E. Shirley, Amazon
WL03: Statistical Graphical Deception — Brian Hochrein, Truven Health Analytics
 
 

526 		Wed, 8/3/2016, 10:30 AM - 12:20 PM CC-W180
The 2016 Statistical Computing and Graphics Award Honors William S. Cleveland — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics
Organizer(s): Naomi B. Robbins, NBR, David A. van Dyk, Imperial College London
Chair(s): Naomi B. Robbins, NBR
10:35 AM Bill Cleveland: Il Maestro of Statistical Graphics — Nicholas Fisher, University of Sydney
10:55 AM Modern Crowd-Sourcing Validates Cleveland's 1984 Hierarchy of Graphical Elements — Dianne Cook, Monash University
11:15 AM Some Reflections on Dynamic Graphics for Data Exploration — Luke-Jon Tierney, University of Iowa
11:35 AM Carpe Datum! Bill Cleveland's Contributions to Data Science and Big Data Analysis — Steve Scott, Google Analytics
11:55 AM Scaling Up Statistical Models to Hadoop Using Tessera — Jim Harner, West Virginia University
12:15 PM Floor Discussion
 
 

600 		Wed, 8/3/2016, 2:00 PM - 3:50 PM CC-W179a
When the Plot Is Not the End: Advances in Computing and Reasoning on Data Visualizations — Topic Contributed Papers
Section on Statistical Graphics
Organizer(s): Gabriel Becker, Genentech Research
Chair(s): Bill Forrest, Genentech Research
2:05 PM Cognostics: Metrics Enabling Detailed Interactive Visualization of Big Data — Barret Schloerke
2:25 PM Visual Inference for Networks — Heike Hofmann, Iowa State University ; Samantha Tyner, Iowa State University ; Mahbubul Majumder, University of Nebraska - Omaha ; Haley Jeppson, Iowa State University
2:45 PM Viztrackr: Tracking and Discovering Plots via Automatic Semantic Annotations — Gabriel Becker, Genentech Research ; Sara E. Moore, University of California at Berkeley ; Michael Lawrence, Genentech Research
3:05 PM Visualization and Computation Over Hierarchically Organized Features for Metagenomics and Epigenomics — Hector Corrada Bravo, University of Maryland
3:25 PM Floor Discussion
 
 

695 		Thu, 8/4/2016, 10:30 AM - 12:20 PM CC-W176a
Methods and Applications of Statistical Graphics — Contributed Papers
Section on Statistical Graphics , Section for Statistical Programmers and Analysts
Chair(s): Yan Wang, University of California at Los Angeles
10:35 AM Interactive Visualization of Latino Political Participation in Nebraska and USA — Farhana Luna ; Xiaoyue Cheng, University of Nebraska - Omaha ; Lissette Linares, University of Nebraska - Omaha
10:50 AM Use of Phase Plots to Explore Financial Data — Mahbubul Majumder, University of Nebraska - Omaha ; John Konvalina, University of Nebraska - Omaha
11:05 AM Improved Simulation for Exponential Random Graph Models for Social Network Analysis — Junchi Guo ; Michael Larsen, The George Washington University
11:20 AM Confident Class Micromaps for Visual Analytic Inference — Daniel Carr, George Mason University ; Anand N. Vidyashankar, George Mason University
11:35 AM Causal Inference in Observational Studies using data integration in large scales and creating strong instrumental variables — Azam Yazdani ; Akram Yazdani, The University of Texas Health Science Center at Houston ; Ahmad Samiei, Hasso-Plattner-Institut für Softwaresystemtechnik ; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:50 AM Floor Discussion
 
 
 
 
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