Key:

Applications

Computational Statistics

Computing Science

Data Science

Data Visualization

Machine Learning

Friday, May 18

Exhibits Open
SDSS Hours

Fri, May 18, 7:30 AM - 4:00 PM
Regency Ballroom Foyer

Registration
SDSS Hours

Fri, May 18, 7:30 AM - 5:30 PM
Registration

GS03 - Plenary Session: Contributions to Computational Statistics
General Session

Fri, May 18, 8:30 AM - 10:00 AM
Grand Ballroom D

Organizer(s): Yasmin H. Said, George Mason University

Chair(s): Yasmin H. Said, George Mason University

8:35 AM

Ed Wegman's Influence on the Profession: His Work in Computational Statistics and Density Estimation in Particular
David Scott, Rice University

9:00 AM

Statistical Graphics in Data Science
Presentation Adalbert Wilhelm, Jacobs University

9:25 AM

Omnibus Regression: Predicting Probability Distributions with Imperfect Data
Jerome H. Friedman, Stanford University

9:50 AM

Floor Discussion

PS05 - Bioinformatics/Biomedical
E-Poster

Fri, May 18, 10:00 AM - 10:45 AM
Regency Ballroom B

Effect of Non-Parametric Mapping Over Parametric Mapping for fMRI
Siddharth Nayak, Institute of Statistical Science, Academia Sinica

Identifying Bioethical Issues in Biostatistical Consulting: Findings From a US National Pilot Survey of Biostatisticians
Min Qi Wang, University of Maryland

Diagnostic Prediction of Autism in Resting-State Functional Mri Using Conditional Random Forest
Afrooz Jahedi, San Diego State University

Data-Driven Statistical Methods for Detecting Gait Instability Using Physiological Signal Metrics
Kristin Morgan, University of Connecticut

A Comparison of Selected Parametric and Non-Parametric Statistical Approaches for Candidate Genes Selection in Transcriptome Data
Presentation Dawit Gezahegn Tadesse, Cincinnati Children's Hospital Medical Center

Wavelet-based Classification Applied to fMRI
Presentation Pedro Alberto Morettin, University of São Paulo

Visualizations to Guide Dimension Reduction for Sparse High-Dimensional Data
Snehalata Huzurbazar, West Virginia University

CS27 - Distinguished Colleagues of Edward Wegman: Applications to Data Science
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Grand Ballroom D

Organizer(s): Yasmin H. Said, George Mason University

Chair(s): Yasmin H. Said, George Mason University

10:30 AM

Automatic Visualization
Leland Wilkinson, H2O

11:00 AM

Cherry-Picking for Complex Datasets
Presentation David Banks, SAMSI and Duke University

11:30 AM

Bayesian Penalty Mixing with the The Spike and Slab Lasso
Presentation Edward George, University of Pennsylvania

CS28 - Bayesian Computations and Applications
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Grand Ballroom E

Organizer(s): Ehsanolah Soofi, University of Wisconsin at Milwaukee

Chair(s): Ehsanolah Soofi, University of Wisconsin at Milwaukee

10:30 AM

Analysis of Crimean-Congo Hemorrhagic Fever Incidents with Dynamically Weighted Particle Filter
Presentation Duchwan Ryu, Northern Illinois University

11:00 AM

Non-Negative Matrix Factorization for The Exponential Family Based on Generalized Dual Divergence and Intrinsic Information
Karthik Devarajan, Fox Chase Cancer Center, Temple University Health System

11:30 AM

Masking Data Using an Entropy Approach
Kurt Pflughoeft, University of Wisconsin Milwaukee

CS29 - Big Data Visualization
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Grand Ballroom F

Organizer(s): Rida Moustafa, Walmart

Chair(s): Rida Moustafa, Walmart

10:30 AM

Developing Inferential Visual Analytics Systems for Scientific Applications
Chad A. Steed, Oak Ridge National Laboratory

11:00 AM

Data Visualization in Statistical Consulting Applications
Heather Watson, Exponent, Inc.

11:30 AM

Quantization and Enveloping Methods for Scaling Visualization Techniques to Big Data
Rida Moustafa, Walmart

CS30 - Data Science Programs
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Grand Ballroom G

Organizer(s): Tim Hesterberg, Google

Chair(s): Tim Hesterberg, Google

10:30 AM

NYU Master of Science in Data Science
Presentation Arthur Spirling, New York University

10:55 AM

Columbia University Master of Science in Data Science
Presentation Tian Zheng, Columbia University

11:20 AM

WVU Master of Science in Business Data Analytics: Challenges and Experiences with Online Data Science Programs
Presentation Brad Price, West Virginia University

11:45 AM

Floor Discussion

CS31 - Recent Advances in Statistical Machine Learning
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Regency Ballroom A

Organizer(s): Eric Chi, North Carolina State University; David Scott, Rice University

Chair(s): David Scott, Rice University

10:30 AM

On the Regularizations for Enforcing Equi-Sparsity
Yiyuan She, Florida State Univresity

11:00 AM

An Alternating Directions Method for Large-scale Multivariate Convex Regression
Jason Xu, University of California Los Angeles

11:30 AM

Tensor Canonical Correlation Analysis
Eric Chi, North Carolina State University

CS32 - Data Science Partnerships
Invited

Fri, May 18, 10:30 AM - 12:00 PM
Lake Fairfax A

Organizer(s): Sallie Keller, Biocomplexity Institute of Virginia Tech

Chair(s): Sallie Keller, Biocomplexity Institute of Virginia Tech

10:30 AM

Using Multiple Big Data Sources to Manage a Supply Chain
Dave Higdon, SDAL, Virginia Tech

11:00 AM

Partnering for Data Science: The Laboratory for Analytic Sciences
Presentation Alyson Wilson, North Carolina State University

11:30 AM

University, Government, NGO Partnership Around Statistical Solutions to Urban Challenges
Katherine Bennett Ensor, Rice University

CS33 - Survey Science
Contributed

Fri, May 18, 10:30 AM - 12:00 PM
Lake Fairfax B

Chair(s): MoonJung Cho, U.S. Bureau of Labor Statistics

10:30 AM

Survey Estimation with Elastic Net Regression: Combining Data Sources to Improve Estimator Efficiency
Kelly Sue McConville, Swarthmore College

10:45 AM

Pseduolikelihood Inference for Quantiles From Complex Surveys
Jing Wang, The University of Texas at Arlington

11:00 AM

Can a Statistician Thrive Using Only Free Software?
Amang Sukasih, RTI International

11:15 AM

Systematic Sampling Design with Application to Data Splitting
Redouane Betrouni, George Mason University

11:30 AM

Incorporating Design Concepts and Methods into the Integration of Multiple Data Sources
John Eltinge, U.S. Census Bureau

11:45 AM

Classification Trees for Privacy in Sample Surveys
Presentation Rolando Andres Rodriguez, U.S. Census Bureau

CS34 - Distinguished Students of Edward Wegman
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Grand Ballroom D

Organizer(s): Yasmin H. Said, George Mason University

Chair(s): Edward George, University of Pennsylvania

1:30 PM

On Spectral Graph Clustering
Carey E. Priebe, Johns Hopkins University

2:00 PM

Modeling Topics in Survey Interviewer Notes
Presentation Wendy Martinez, U.S. Bureau of Labor Statistics

2:30 PM

Eigen-Privy: Adjacency Spectral Embedding for Document Analysis
Presentation David Marchette, Naval Surface Warfare Center

CS35 - Advances in Bayesian Analytics
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Grand Ballroom E

Organizer(s): Refik Soyer, George Washington University

Chair(s): Refik Soyer, George Washington University

1:30 PM

Deep Learning: A Bayesian Perspective
Vadim Sokolov, George Mason University

2:00 PM

Bayesian Analysis of Multivariate Non-Gaussian Time Series
Refik Soyer, George Washington University

2:30 PM

Likelihood, Confirmational Tenacity, and Mood Transitions in Bayesian Inference
Nozer D. Singpurwalla, City University of Hong Kong

CS36 - Data Visualization Platforms
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Grand Ballroom F

Organizer(s): Jim Harner, West Virginia University

Chair(s): Jim Harner, West Virginia University

1:30 PM

Using Shiny to interact with data
Winston Chang, Rstudio

2:00 PM

The Interactive Solution Path in JMP Pro: A Powerful Tool for Visualizing and Exploring Model Diagnostics
Chris Gotwalt, JMP

2:30 PM

RCloud - Collaborative Platform for Visualization and Data Analysis
Simon Urbanek, ATT Research

CS37 - Statistical Analytics for Data Science
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Grand Ballroom G

Organizer(s): Lynne Billard, University of Georgia

Chair(s): Seyed Yaser Samadi, Southern Illinois University Carbondale

1:30 PM

Time Series Analysis for Symbolic Interval-valued Data
Seyed Yaser Samadi, Southern Illinois University Carbondale

2:00 PM

Privacy Analytics via Aggregate Data: Trade-off between Statistical Efficiency and Privacy
Anand N. Vidyashankar, George Mason University

2:30 PM

Clustering Histogram-valued Data
Lynne Billard, University of Georgia

CS38 - Statistical Challenges in Large-Scale Data Mining
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Regency Ballroom A

Organizer(s): Tian Zheng, Columbia University

Chair(s): Tian Zheng, Columbia University

1:30 PM

A Scalable Algorithm for Change-Points Computation in Large Graphical Models
Yves Atchade, University of Michigan

2:00 PM

Embedding Approaches for Mining Heterogeneous Information Networks
Presentation Yizhou Sun, UCLA

2:30 PM

Approximate Data Analytics
Christopher Jermaine, Rice University

CS39 - Applications of Divide and Recombine to Big Data
Invited

Fri, May 18, 1:30 PM - 3:00 PM
Lake Fairfax A

Organizer(s): William S. Cleveland, Purdue

Chair(s): Soren Harner, MuleSoft

1:30 PM

Divide & Recombine (D&R) with DeltaRho for Big Data Analysis
Presentation William S. Cleveland, Purdue

2:00 PM

DeltaRho for Deep Analysis of Precipitation and Cloud Observations to Advance the Understanding of Earth's Water Cycle
Wen-wen Tung, Earth, Atmospheric, and Planetary Sciences, Purdue

2:30 PM

Applications of Large-Scale Visualization Using Trelliscope
Presentation Ryan Hafen, Hafen Consulting LLC

CS40 - Data Science Foundations
Contributed

Fri, May 18, 1:30 PM - 3:00 PM
Lake Fairfax B

Chair(s): Snehalata Huzurbazar, West Virginia University

1:30 PM

A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data
Ben Baumer, Smith College

1:45 PM

Perspectives on Deep Learning and Deep Reasoning
Presentation Rich Haney, Big Data2 Consulting

2:00 PM

Defining the AIM: An Abstraction for Improving Machine Learning Prediction
VICTORIA STODDEN, University of Illinois Urbana-Champaign

2:15 PM

Sensemaking and Five Problems with Big Data Science
Presentation Michael Latta, Coastal Carolina University - YTMBA Research & Consulting

2:30 PM

Painless Computing Models for Ambitious Data Science
Presentation Hatef Monajemi, Stanford University

2:45 PM

A Paradigm for Research in Data Science
Presentation Vardan Papyan, Stanford

PS06 - Survey Data
E-Poster

Fri, May 18, 3:00 PM - 3:45 PM
Regency Ballroom B

Constrained Optimization for Survey Weights
Presentation Matthew R Williams, Substance Abuse and Mental Health Services Administration

Performance Evaluation of Machine Learning Algorithms by K-Fold and Leave-One-Out Cross Validation for Classification of Survey Write-in Responses
Presentation Andrea Roberson, U.S. Census Bureau

Looking Inward: Quality Audits for Demographic Programs at the U.S. Census Bureau
Richard Levy, US Census Bureau

Some Dimension Reduction Strategies for the Analysis of Survey Data
Jiaying Weng, University of Kentucky

Suggestion of the Confidence Interval of the Cronbach Alpha in Application to Complex Survey Data
Jihnhee Yu, University at Buffalo

Secure Distributed Computational Processing for Industry Statistical Data
Cavan Paul Capps, U.S. Census Bureau

CS41 - Big Data and Data Science in Government, Public Policy, and the Health Sciences
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Grand Ballroom D

Organizer(s): Nozer D. Singpurwalla, City University of Hong Kong; Inez Zwetsloot, City University of Hong Kong

Chair(s): Inez Zwetsloot, City University of Hong Kong

3:30 PM

Building Resilient Communities: Harnessing the Power of Data
Presentation Sallie Keller, Biocomplexity Institute of Virginia Tech

4:00 PM

Data Foundation for Defense Acquisition: How the Department of Defense Manages and Uses Data to Support Management and Decision-making on the High-value Major Defense Acquisition Programs
Nancy Spruill, OUSD(AT&L)/ARA

4:30 PM

On the the Role of Higher Order Topological Properties in Functionality of Complex Networks
Yulia Gel, UT Dallas

CS42 - Invitation to Statistical Analysis and Data Mining
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Grand Ballroom E

Organizer(s): Jia Li, Pennsylvania State University

Chair(s): Lynne Billard, University of Georgia

3:30 PM

Fitting High-Dimensional Function-on-Scalar Regression Models via a Functional Augmented ADMM
Matthew Reimherr, Penn State University

4:00 PM

Flexible Supervised Learning Techniques for Block-missing Data
Yufeng Liu, University of North Carolina at Chapel Hill

4:30 PM

Phyloclustering: A Model-Based Approach for Identifying Microbial Populations
Wei-Chen Chen, pbdR Core Team

CS43 - Dynamic Structural Proteomics: Simulation, Visualization, and Nonparametric Estimation
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Grand Ballroom F

Organizer(s): Juergen Symanzik, Utah State University

Chair(s): Daniel B. Carr, George Mason University

3:30 PM

Biomolecules in Motion: Sample-based Models of Dynamics Elucidating Function and Mechanisms in the Healthy and Diseased Cell
Amarda Shehu, George Mason University

4:00 PM

Local PCA and Extraction of Filamentary Structures
Wanli Qiao, George Mason University

4:30 PM

An Approach to Visualizing Simulated Protein Folding Energy Landscapes as a Function of Four to Six Principal Components
Daniel B. Carr, George Mason University

CS44 - Data Science Platforms II
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Grand Ballroom G

Organizer(s): Jim Harner, West Virginia University

Chair(s): Jim Harner, West Virginia University

3:30 PM

The Unified Analytics Platform: Unifying Big Data Workloads in Apache Spark
Presentation Hossein Falaki, Databricks

4:00 PM

Using Microsoft ML Server and Spark for Distributed Computation of Massive Computational Experiments in Data Science and Statistical Inference
Ali Zaidi, Microsoft AI and Research

4:30 PM

The SAS® Platform: Where Point and Click Users and Coders of All Languages Collaborate Seamlessly
Carlos Pinheiro, SAS & Data Science Tech Institute, France

CS45 - Statistical Machine Learning Applications in Surveys
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Regency Ballroom A

Organizer(s): Wendy Martinez, U.S. Bureau of Labor Statistics

Chair(s): Wendy Martinez, U.S. Bureau of Labor Statistics

3:30 PM

Classification and Regression Trees and Forests for Imputing Data from Sample Surveys
Presentation MoonJung Cho, U.S. Bureau of Labor Statistics

4:00 PM

Model-Assisted Survey Estimation With Modern Prediction Techniques
Jean Opsomer, Colorado State University

4:30 PM

Calling All Stakeholders: Developing a Demographic Statistical Redesign Agenda
Richard Levy, US Census Bureau

CS46 - Data Sciences Applications for Critical Health Issues I
Invited

Fri, May 18, 3:30 PM - 5:00 PM
Lake Fairfax A

Organizer(s): William F. Wieczorek, SUNY Buffalo State

Chair(s): Jonathan Lindner, Center for Health and Social Research at SUNY Buffalo State

3:30 PM

Alcohol Abstainers versus Drinkers: Changes in Health Outcomes after 20 Years
Presentation Kelly S Marczynski, SUNY Buffalo State

4:00 PM

Making Data Speak to User Needs: The Anchor Institution Dashboard
Alban Morina, Center for Health and Social Research at SUNY Buffalo State

4:30 PM

Conceptualization Issues in Analyzing and Communicating Collective Impact Data
Karl Wende, Center for Health & Social Research at Buffalo State

CS47 - Time-to-Event Models
Contributed

Fri, May 18, 3:30 PM - 5:00 PM
Lake Fairfax B

Chair(s): Rida Moustafa, Walmart

3:30 PM

A Moving 2D Time Series Models
Presentation Silvey Shamsi, Ball State University

3:45 PM

A Tool to Facilitate Creation of Multiple Time-Based Intervals per Subject
Presentation Cynthia Sue Crowson, Mayo Clinic

4:00 PM

An Efficient Generalized Least Squares Algorithm for Periodic Regression With Autoregressive Errors
Jaechoul Lee, Boise State University

4:15 PM

Comparison of Emotional States by Time Series Connectivity Analysis of Brain Activity Data
Presentation Rui Liu, Louisiana Tech University

4:30 PM

Floor Discussion

CS48 - Distinguished Colleagues of Edward Wegman: Modeling and Data Science
Invited

Fri, May 18, 5:15 PM - 6:15 PM
Grand Ballroom D

Organizer(s): Yasmin H. Said, George Mason University

Chair(s): Yasmin H. Said, George Mason University

5:15 PM

The Revival of Statistical Ranking Methods in The High Technology and Big Data Era: Some Recent Developments
Michael G. Schimek, Medical University of Graz

5:45 PM

Communicating with Data Using Transparent Models
Roy E. Welsch, MIT

CS49 - Data Analytics Supporting Homeland Security
Invited

Fri, May 18, 5:15 PM - 6:15 PM
Grand Ballroom E

Organizer(s): Eddie Fuller, West Virginia University and Homeland Security

Chair(s): Eddie Fuller, West Virginia University and Homeland Security

5:15 PM

Vast & Varied - Big Data at DHS
Aaron Mannes, Homeland Security

5:45 PM

Using Data Analytics to Support Disaster Response During Harvey and Irma: Social Media, Weather and Other Data Sources
Eddie Fuller, West Virginia University and Homeland Security

CS50 - Data Science Platforms III
Invited

Fri, May 18, 5:15 PM - 6:15 PM
Grand Ballroom G

Organizer(s): Jim Harner, West Virginia University

Chair(s): Soren Harner, MuleSoft

5:15 PM

Intelligent Application Networks with MuleSoft and TensorFlow
Presentation Soren Harner, MuleSoft

5:45 PM

An Introduction to the Watson Data Platform
Bernie Beekman, IBM

CS51 - Predictive Big Data Analytics
Invited

Fri, May 18, 5:15 PM - 6:15 PM
Regency Ballroom A

Organizer(s): Jim Harner, West Virginia University

Chair(s): Jim Harner, West Virginia University

5:15 PM

Interpretable Machine Learning
Presentation Patrick Hall, H2O.ai

5:45 PM

Big Data with R
Presentation Edgar Ruiz, Rstudio

CS52 - Outcomes from the SAMSI Climate Program
Invited

Fri, May 18, 5:15 PM - 6:15 PM
Lake Fairfax A

Organizer(s): David Banks, SAMSI and Duke University

Chair(s): David Banks, SAMSI and Duke University

5:15 PM

Modeling Large Spatial Data: an Application in Air Quality Modeling
Yawen Guan, SAMSI

5:45 PM

Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs With Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI

CS53 - Sports and Game Analytics
Contributed

Fri, May 18, 5:15 PM - 6:15 PM
Lake Fairfax B

Chair(s): Rida Moustafa, Walmart

5:15 PM

Predict Video Game Wheel Design Game Strategy
Mason Chen, Stanford OHS

5:30 PM

Apply Multivariate Data Mining on Playing Strategic Video Game
Patrick Giuliano, MorrillLearning Center

5:45 PM

Baseball Pitching and Swing Contact Modeling
Andrew Chen, University of San Francisco

6:00 PM

Predict Basketball Team Winning Record
Mason Chen, Stanford OHS

CS54 - Dynamic Data Visualization
Contributed

Fri, May 18, 5:15 PM - 6:15 PM
Grand Ballroom F

Chair(s): Chris Gotwalt, JMP

5:15 PM

Dynamic Data Visualization: Bringing Data to Life
Neil W Polhemus, Statgraphics Technologies, Inc.

5:30 PM

Effective Story Telling with Dynamic Data Visualizations
Ruth M Hummel, JMP/SAS

5:45 PM

Exploratory Data Analysis for Predictive Analytics
Mia Stephens, JMP/SAS

6:00 PM

Discussant
Chris Gotwalt, JMP

Online Program

Key:

ASA Meetings Department