Online Program

Return to main conference page

All Times EDT

Back to search menu

Key:

Computational Statistics
Computational Statistics
Data Visualization
Data Visualization
Education
Education
 
Machine Learning
Machine Learning
Practice and Applications
Practice and Applications
Software & Data Science Technologies
Software & Data Science Technologies
Friday, June 5
Keynote Address
General Session
Fri, Jun 5, 10:00 AM - 11:10 AM
 
Chair(s): David Hunter, Penn State University

Data for Good: Ensuring the Responsible Use of Data to Benefit Society
Presentation Jeannette M. Wing, Columbia University
Practice and Applications
Practice and Applications Posters, Part 1
E-Poster
Fri, Jun 5, 10:00 AM - 1:00 PM
 

Poster Q&A will be available during these designated hours as part of the virtual conference.

1
How Does Mental Health Affect Unemployment? The Mediation Effect of Concentration Ability
Chuhan Ouyang, 2003
2
Two Notes About the Two Faces of R-Squared
Gyasi K Dapaa, Indeed Inc
3
The Children's National Data Lake (CNDL): A Partnership with Amazon Web Services and Cerner
James Bost, Children's National Hospital
4
PM2.5 Data from Functional Time Series Analysis
5
Tornado: Classification, Correlation, Prediction
Thilini Vasana Mahanama, Texas Tech University
6
Detecting Cell Culture Contamination with Multivariate Time Series Data
Laura L Tupper, Williams College
7
A Novel Application of Time Series Classification Using the Continuous Wavelet Transform and Convolutional Neural Networks on Smartphone Sensor Data
William Robert Nadolski, SAS Institute
8
Application of Unsupervised Machine Learning Technique in Early Discovery Efforts to Identify Novel Subgroups of Patients with Type 2 Diabetes Mellitus Using Proinsulin Levels
Santosh C Sutradhar, Merck & Co., Inc.
9
Statistical Modeling of Emission Factors of Fossil Fuels Contributing to Atmospheric Carbon Dioxide in Africa
Mohamed Ali Abu Sheha, University of South Florida
10
Independence Test for Bivariate Pareto Data
William Cipolli, Colgate University
11
Estimation of Functional-Coefficient Panel Data Models with Two-Way Fixed Effects: An Empirical Application
Shaymal Chandra Halder, Auburn University
12
A Lattice and Random Intermediate Point Sampling Design for Animal Movement
Elizabeth Eisenhauer, Pennsylvania State University
13
Data Science at the Mayo Clinic: Implementation of the Discovery, Translation, and Application (DTA) Framework in Outpatient Palliative Care Practice
Shusaku William Asai, Mayo Clinic
Data Visualization
Data Journalism and Visualization Fill out evaluation
Invited
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Organizer(s): Kiegan Rice, Iowa State University
Chair(s): Kiegan Rice, Iowa State University

11:20 AM
How (and Why) Election Results Data Gets Made
Presentation Derek Willis, OpenElections
11:50 AM
Designing Information Graphics for Communication
Peter Bell, Pew Research Center
12:20 PM
Design for Journalism
Presentation Sarah Almukhtar, The New York Times
Education
Statistics for the Engaged Citizen: Revising Educational Practices to Increase Relevance in Everyday Life Fill out evaluation
Invited
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Organizer(s): Leslie Myint, Macalester College
Chair(s): Leslie Myint, Macalester College

11:20 AM
Best Practices for Teaching R Programming to Students: A Randomized Controlled Trial
Presentation Lucy D'Agostino McGowan, Wake Forest University
11:50 AM
Real Data Analysis in the Classroom Through the Use of Case Studies
Leah Jager, Johns Hopkins Bloomberg School of Public Health
12:20 PM
Q&A
Machine Learning
Interpretable and Fair Machine Learning in Finance Fill out evaluation
Invited
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Organizer(s): Patrick Hall, H2O.ai
Chair(s): Patrick Hall, H2O.ai

This session will not be recorded/available for registrants to access on-demand.

11:20 AM
Adaptive Explainable Neural Networks (AxNN)
Presentation Jie Chen, Wells Fargo
11:50 AM
Responsible Data Science: Identifying and Fixing Biased AI
Nicholas Schmidt, BLDS
12:20 PM
A New Approach to Providing Explanations for Machine Learning Algorithms
Tom Prendergast, Synchrony Financial
Practice and Applications
Recent Advances in Entity Resolution Fill out evaluation
Invited
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Organizer(s): Rebecca Steorts, Duke University
Chair(s): Christine P. Chai, Microsoft

This session will not be recorded/available for registrants to access on-demand.

11:20 AM
Challenges for Accurate Enumerations of Census and Voter Registrations Databases
Rebecca Steorts, Duke University
11:50 AM
Bayesian Canonicalization of Voter Registration Files
Andee Kaplan, Colorado State
12:20 PM
Multifile Record Linkage and Duplicate Detection via a Structured Prior for Partitions
Presentation Serge Aleshin-Guendel, University of Washington
Computational Statistics
Computational Statistics 2 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Chair(s): Waldyn Gerardo Martinez, Miami University

11:20 AM
On the Estimation Bias in First-Order Bifurcating Autoregressive Models
Presentation Tamer Elbayoumi, North Carolina A&T State University
11:50 AM
Learning Large Genetic Networks Using Gaussian Graphical Models
Sujay Datta, University of Akron
12:20 PM
Kernel Mean Embedding-Based Hypothesis Tests for Comparing Spatial Point Patterns
Presentation Raif Rustamov, AT&T Labs Research
Software & Data Science Technologies
Software and Data Science Technologies 1 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 11:15 AM - 12:50 PM
 
Chair(s): Jim Harner, West Virginia University

11:20 AM
Creating Optimal Conditions for Reproducible Data Analysis in R with `Fertile`
Benjamin S Baumer, Smith College
11:35 AM
Likelihood-Based Inference for Generalized Linear Mixed Models: Inference with R Package glmm
Christina Knudson, University of St. Thomas
11:50 AM
Q&A
Bits and Bytes Networking Break
Social Event
Fri, Jun 5, 12:50 PM - 1:20 PM
 

Grab a bite to eat and connect with fellow attendees for conversation.

Software & Data Science Technologies
Data Science in Industry Fill out evaluation
Invited
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Organizer(s): Philip Turk, Western Data Analytics, LLC
Chair(s): Soren Harner, LayerJot

This session will not be recorded/available for registrants to access on-demand.

1:30 PM
Safely Self-Driving at Scale
Nicholas Armstrong-Crews, Waymo
2:00 PM
Leveraging Data Science to Support Clinical Trial Execution
Matthew Austin, Amgen, Inc
2:30 PM
Row Crop Breeding at a Global Scale: Applications of Software and Decision-Science at Bayer Crop Science
Ross S. Bricklemyer, Bayer Crop Science
Data Visualization
Interactive Graphics Fill out evaluation
Invited
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Organizer(s): Andee Kaplan, Colorado State
Chair(s): Alex Kale, University of Washington

This session will not be recorded/available for registrants to access on-demand.

1:30 PM
Reproducible Shiny Apps with Shinymeta
Carson Sievert, RStudio
2:00 PM
Vega-Lite: What Does a Grammar of Interactive Graphics Enable?
Presentation Arvind Satyanarayan, MIT CSAIL
2:30 PM
Connecting HTML Widgets with Shiny-Like Inputs to Visualize the Structure of High-Dimensional Data Using Tours
Haley Jeppson, Iowa State University
Computational Statistics
Bayesian Computation Fill out evaluation
Invited
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Organizer(s): Michele Guindani, University of California, Irvine
Chair(s): Michele Guindani, University of California, Irvine

1:30 PM
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
Presentation Galin Jones, University of Minnesota
2:00 PM
Robust, Efficient Hamiltonian Monte Carlo Algorithms on Manifolds
Presentation Shiwei Lan, Arizona State University
2:30 PM
Q&A
Machine Learning
Machine Learning 2 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Chair(s): Lynne Steuerle Schofield, Swarthmore College

This session will not be recorded/available for registrants to access on-demand.

1:30 PM
Deep Doubly Robust Outcome-Weighted Learning
Xiaotong Jiang, University of North Carolina at Chapel Hill
2:00 PM
Locally Optimized Random Forests: A Solution to Forecasting Severe Hurricane Power Outages
Presentation Tim Coleman, University of Pittsburgh, Department of Statistics
2:30 PM
Modern Multiple Imputation Applied to Functional Data
Aniruddha Rajendra Rao, Pennsylvania State University
Machine Learning
Machine Learning 4 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Chair(s): Andee Kaplan, Colorado State

1:30 PM
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
Trambak Banerjee, University of Southern California
2:00 PM
Multivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains
Jordan Christopher Trinka, Department of MSSC at Marquette Univeristy
2:30 PM
A One-Class Peeling Method for Anomaly Detection
Waldyn Gerardo Martinez, Miami University
Practice and Applications
Practice and Applications 3 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 1:25 PM - 3:00 PM
 
Chair(s): William Franz Lamberti, George Mason University

1:30 PM
Statistical Inference of Adaptive Mutations and Genes from Worldwide Genome Sequences
Lauren Alpert Sugden, Duquesne University
2:00 PM
Q&A
Practice and Applications
Practice and Applications Posters, Part 2
E-Poster
Fri, Jun 5, 2:00 PM - 5:00 PM
 

Poster Q&A will be available during these designated hours as part of the virtual conference.

1
On Using Graphical Models and Regularized Parameter Estimates: Practical Considerations and Applications
Zhipu Zhou, University of California - Santa Barbara
2
Development of an Integrated Oncology Data Warehouse for Data Science and Precision Medicine Applications to Facilitate Complex Clinical Decisions 
Anshul Saxena, Baptist Health south Florida
3
Data-Driven Statistical Modeling and Analysis of the Survival Times of Multiple Myeloma Cancer
Lohuwa Mamudu, University of South Florida
4
Predicting International Conflict Onset
Daniel Kent, The Ohio State University
5
Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
David Han, The University of Texas at San Antonio
6
Prediction and Modeling of Sensor Endpoint Data in Clinical Trials
Yi-Ting Chang, AstraZeneca
7
Associations Between Accelerometry-Based Gait Measures and Life-Space Assessment Scores in Older Adults
Anisha Suri, University of Pittsburgh
8
A Selective Inference Approach for FDR Control Using Multi-Omics Covariates Yields Insights into Disease Risk
Ronald Yurko, Carnegie Mellon University
9
WITHDRAWN: Basket Analysis Methods in Big Data: The Case of Diabetes
10
A Neural Network Approach for Imputing Missing Metabolomics Data
Tyler Cook, University of Central Oklahoma
11
Statistical Downscaling of Climate-Model Produced Daily Precipitation Based on a Single-Stage Zero-Inflation Rainfall Model
Yiming Liu, University of New Hampshire
12
High-Frequency Multivariate Environmental Time Series: GAM Gap Filling and Distributed Nonlinear Lag Modeling
Lin Wang, University of New Hampshire
13
Solving Data Science Problems in the US Federal Government with R Shiny
Samantha Tyner, U.S. Bureau of Labor Statistics
14
A Survey of Statistical Methods for Investigating Risk of Low-Back Pain in a Cohort of Manufacturing Workers
Charles Ingulli, American University
15
WITHDRAWN Profile of Hospital Admissions due to Asthma: 2012--2017
16
Using Heterogeneous Treatment Effects to Evaluate the Impact of Heath Management Interventions A Simulation Study Using Medical Claims Data
Khalil Zlaoui, Aetna
17
An R Markdown Template for CMS Statistical Reports: The Labyrinth of R Markdown and Microsoft Word
Carina Spicer, Merck
BYOC (Bring Your Own Coffee) Break
Social Event
Fri, Jun 5, 3:00 PM - 3:30 PM
 

Grab a fix and join your colleagues for a breather between sessions.

Data Visualization
User Testing Statistical Graphics Fill out evaluation
Invited
Fri, Jun 5, 3:30 PM - 5:05 PM
 
Organizer(s): Adam Loy, Carleton College
Chair(s): Adam Loy, Carleton College

3:35 PM
Expect Users to Satisfice: Designing Interfaces for Reasoning with Uncertainty
Alex Kale, University of Washington
4:05 PM
Open Data Visualizations and Analytics as Tools for Policy-Making
Presentation Loni Hagen, University of South Florida
4:35 PM
Scenarios of Visual Inference
Presentation Heike Hofmann, Iowa State University
Software & Data Science Technologies
R vs. Python, or Both? Fill out evaluation
Invited
Fri, Jun 5, 3:30 PM - 5:05 PM
 
Organizer(s): Philip Turk, Western Data Analytics, LLC
Chair(s): Donna LaLonde, American Statistical Association

3:35 PM
R vs. Python for Data Science?
Presentation Norm Matloff, UC Davis
4:05 PM
Python and R, When in Rome
Presentation Soren Harner, LayerJot
4:35 PM
Q&A
Practice and Applications
The Hidden AI Threats: Data, Stability, and Model Decay Fill out evaluation
Invited
Fri, Jun 5, 3:30 PM - 5:05 PM
 
Organizer(s): Celeste Fralick, Mcafee
Chair(s): Sarah Kalicin, Intel Corporation

3:35 PM
The Hidden Threats of Decay in AI
Presentation Celeste Fralick, Mcafee
4:05 PM
If Your Data Is Bad, Your AI Initiatives Are Doomed!
Thomas C. Redman, "the Data Doc"
4:35 PM
Veridical Data Science and the PCS Framework
Presentation Raaz Dwivedi, UC Berkeley
Education
Education 2 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 3:30 PM - 5:05 PM
 
Chair(s): Zhi Yang, USC

3:35 PM
Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years
Aimee Schwab-McCoy, Creighton University
4:05 PM
Hosting a Data Science Hackathon with Limited Resources
Christopher Wedrychowicz, Saint Mary's College
4:35 PM
Q&A
Machine Learning
Machine Learning 3 Fill out evaluation
Contributed Refereed
Fri, Jun 5, 3:30 PM - 5:05 PM
 
Chair(s): Claire McKay Bowen, Urban Institute

3:35 PM
Machine Learning Model Selection with Complex Sample Survey Data
Brian Kim, University of Maryland
3:50 PM
Permutation-Based Uncertainty Quantification
Vaidehi Ulhas Dixit, North Carolina State University
4:05 PM
Toward Sequential Data Clustering via Long Short-Term Memory Auto-Encoder
Presentation Yirui Hu, Geisinger
4:20 PM
MISL: Multiple Imputation by Super Learning
Presentation Thomas Carpenito, Northeastern University
4:35 PM
Self-Supervised Learning for Outlier Detection
Jan Diers, Friedrich-Schiller-University Jena
4:50 PM
Q&A
Closing Keynote Address
General Session
Fri, Jun 5, 5:10 PM - 6:20 PM
 
Chair(s): Wendy Martinez, Bureau of Labor Statistics

Data Science, Statistics, and Health
Presentation Robert Tibshirani, Stanford University
Virtual Happy Hour
Social Event
Fri, Jun 5, 6:30 PM - 7:30 PM
 

Celebrate a job well done with your friends and colleagues by grabbing a congratulatory drink and joining them for an hour of happiness. Rooms will be shuffled, so never a dull moment!

 

↑

ASA Meetings Department

732 North Washington Street
Alexandria, VA 22314
(703) 684-1221
meetings@amstat.org

Copyright © American Statistical Association

Privacy | Conduct Policy | Previous Years