Key:

Applications

Computational Statistics

Computing Science

Data Science

Data Visualization

Machine Learning

Thursday, May 17

Registration
SDSS Hours

Thu, May 17, 7:30 AM - 5:30 PM
Registration

Exhibits Open
SDSS Hours

Thu, May 17, 7:30 AM - 7:15 PM
Regency Ballroom Foyer

GS01 - Welcome and Keynote Address
General Session

Thu, May 17, 8:30 AM - 10:00 AM
Grand Ballroom D

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

8:30 AM

SDSS Welcome
Yasmin H. Said, George Mason University; Jim Harner, West Virginia University; Ronald L. Wasserstein, American Statistical Association

8:45 AM

Uncovering the Mechanisms of General Anesthesia: Where Neuroscience Meets Statistics
Presentation Emery N. Brown, MIT, Harvard Medical School, and Massachusetts General Hospital

9:40 AM

Edward J. Wegman Award Ceremony

PS02 - Public Health/Disease
E-Poster

Thu, May 17, 10:00 AM - 10:45 AM
Regency Ballroom B

Daily Smokers’ Attributes Associated with Purchasing Cigarettes on Indian Reservations
Richard A Pack, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida

120/5000 Estimation of Life Years Potentially Lost Due to Traffic Accidents Involving a Motorcycle in Costa Rica
Presentation Agustín Gómez Meléndez, University of Costa Rica

Mapping Rates of Inpatient Hospitalizations Related to Mental Disorders in the State of Missouri: A Conditional Autoregressive Model With Zip Code-Level Data
Presentation Daphne Lew, Saint Louis University

Improved Predictive Models for Readmission of Patients with Diabetes
Presentation Chathurangi Heshani Karunapala Pathiravasan, Southern Illinois University

Development of Prognostic Model for Breast Cancer in Shanghai Breast Cancer Survival Study (SBCSS)
Run Fan, Vanderbilt University Medical Center, Department of Biostatistics

A Machine Learning Approach to Improve Fall Risk Prediction in Home Health Care
Yancy Lo, Institute for Biomedical Informatics, The Perelman School of Medicine, University of Pennsylvania

Treating Leukemia in Youths
Presentation Zachary R Smith, University of Michigan - Dearborn

Survival of Young Leukemia Patients
Theren Williams, University of Michigan- Dearborn

Hospital Readmission Risk Prediction after Joint Replacement Surgery
Presentation Selah F. Lynch, Institute for Biomedical Informatics, The Perelman School of Medicine, University of Pennsylvania

CS01 - Automated Model Building
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Grand Ballroom D

Organizer(s): William S. Cleveland, Purdue

Chair(s): Ryan Hafen, Hafen Consulting LLC

10:30 AM

D3M Automated Model Building and Diagnostics
Curtis Lisle, KnowledgeVis LLC

11:00 AM

Candela: An Interactive Visualization Component Library for Data Science
Presentation Jeffrey Baumes, Kitware, Inc.

11:30 AM

Average-Transform-Smooth (ATS) Diagnostic Methods for Non-Gaussian Models
Presentation William S. Cleveland, Purdue

CS02 - Statistics Inference for High-Dimensional Regression
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Grand Ballroom E

Organizer(s): Larry Wasserman, Carnegie Mellon University

Chair(s): Todd A Kuffner, Washington University in St. Louis

10:30 AM

Testing for Global Network Structure Using Small Subgraph Statistics
Chao Gao, University of Chicago

11:00 AM

Inferential Goals, Targets, and Principles in High-Dimensional Regression
Todd A Kuffner, Washington University in St. Louis

11:30 AM

Selective Inference in Linear Regression
Jonathan Taylor, Stanford University

CS03 - Interactive Statistical Graphics: Where Are We Now?
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Grand Ballroom F

Organizer(s): Adalbert Wilhelm, Jacobs University

Chair(s): Adalbert Wilhelm, Jacobs University

10:30 AM

Exploratory Visualization via Extendible Interactive Graphics
Presentation Wayne Oldford, University of Waterloo

11:00 AM

Model Exploration via Conditional Visualisation
Presentation Catherine Hurley, Maynooth University

11:30 AM

Interactive (Web-)Graphics (using R)
Heike Hofmann, Iowa State University

CS04 - Best Practices in Data Science Education
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Grand Ballroom G

Organizer(s): Ben Baumer, Smith College

Chair(s): Ben Baumer, Smith College

10:30 AM

Start with Data Science as an Introduction to Statistical Thinking
Presentation Mine Cetinkaya-Rundel, Duke University & RStudio

11:00 AM

Data Science for Everybody: Building and Characterizing Student-Driven Pathways in Introductory Statistics Courses
Rebecca Nugent, Carnegie Mellon Statistics & Data Science

11:30 AM

Data-Driven Curriculum Development
David Robinson, DataCamp

CS05 - Statistical Machine Learning with Business Applications
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Regency Ballroom A

Organizer(s): Brad Price, West Virginia University

Chair(s): Brad Price, West Virginia University

10:30 AM

A Cluster Elastic Net for Multivariate Regression
Ben Sherwood, University of Kansas

11:00 AM

Selection and Its Inference Using the Whole Solution Paths
Peng Wang, University of Cincinnati

11:30 AM

Shrinking Characteristics of Precision Matrix Estimators
Aaron J. Molstad, Fred Hutchinson Cancer Research Center

CS06 - Analytics for Fitness Tracker Data
Invited

Thu, May 17, 10:30 AM - 12:00 PM
Lake Fairfax A

Organizer(s): David Marchette, Naval Surface Warfare Center

Chair(s): Shelby Macy, Naval Surface Warfare Center

10:30 AM

Correlating Sleep and Temperature Patterns in Navy Warfighters With Current and Future Health Status
Laura Maple, NSWCDD

11:00 AM

An Artificial Intelligence System for Real-Time Individualized Core Temperature Estimation
Jaques Reifman, US Army MRMC/BHSAI

11:30 AM

Statistical Methods for Micro- and Macro-Level Accelerometry Data
Jiawei Bai, Johns Hopkins University

CS07 - Optimization
Contributed

Thu, May 17, 10:30 AM - 12:00 PM
Lake Fairfax B

Chair(s): Jingyi Zhu, The Johns Hopkins University

10:30 AM

Topological Mixture Estimation
Presentation Steve Huntsman, BAE Systems

10:45 AM

Plotting Two-Dimensional Confidence Regions
Presentation Christopher Weld, College of William & Mary

11:00 AM

Tracking Capability of Stochastic Approximation Algorithms with Constant Gain
Jingyi Zhu, The Johns Hopkins University

11:15 AM

Variable Selection for Consistent Clustering
Ronald Joseph Yurko, Carnegie Mellon University

11:30 AM

BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

11:45 AM

Reduced Complexity of Second-Order Simultaneous Perturbation Stochastic Approximation Algorithms
Jingyi Zhu, The Johns Hopkins University

CS08 - Reasoning with Data
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Grand Ballroom D

Organizer(s): William Szewczyk, Mathematics Research Group, National Security Agency

Chair(s): William Szewczyk, Mathematics Research Group, National Security Agency

1:30 PM

Capturing Subject Matter Expertise for Automated Assisted Analysis
Presentation William Szewczyk, Mathematics Research Group, National Security Agency

2:00 PM

Task-Centric Document Curation based on Node Embeddings from a Graphical Representation of Workflows
Paul Jones, Laboratory for Analytic Sciences

2:30 PM

Experiences with AI, Expert Knowledge and Data Analysis
Presentation Octavian Udrea, IBM T.J. Watson Research Center

CS09 - Advanced Mathematics for Data Analysis
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Grand Ballroom E

Organizer(s): David Marchette, Naval Surface Warfare Center

Chair(s): David Marchette, Naval Surface Warfare Center

1:30 PM

Persistence Images and Applications
Tegan Emerson, Naval Research Laboratory

2:00 PM

A Geometric Formulation of Neural Network Training
Presentation David A. Johannsen, Naval Surface Warfare Center - Dahlgren

2:30 PM

Information Tests on Statistical Submanifolds
Michael Trosset, Indiana University

CS10 - Visualization Using Open-Source Tools
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Grand Ballroom F

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

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

1:30 PM

Visualizing BLS Data in Google Public Data Explorer
Presentation Christopher Morris, U.S. Bureau of Labor Statistics

2:00 PM

Visualization Using Open-Source Tools: some FDA perspectives
Presentation Paul Schuette, US Food and Drug Administration

2:30 PM

Small Business Database
Richard Schwinn, Small Business Administration

CS11 - Big Data Analytics Using R and Spark
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Grand Ballroom G

Organizer(s): Brad Price, West Virginia University

Chair(s): Brad Price, West Virginia University

1:30 PM

Data Science Workflows
Jim Harner, West Virginia University

2:00 PM

Data Science at Scale With R and Sparklyr: Architecture, Ecosystem, and Current Developments
Kevin Kuo, Rstudio

2:30 PM

Interacting with Distributed Data from R using SparkR
Presentation Hossein Falaki, Databricks

CS12 - Model Selection in High-Dimensions with Complexities
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Regency Ballroom A

Organizer(s): Hamparsum Bozdogan, University of Tennessee

Chair(s): Hamparsum Bozdogan, University of Tennessee

1:30 PM

A New Approach to Dimension Reduction For Multivariate Time Series
Chung Eun Lee, University of Tennessee, Knoxville

2:00 PM

Coordinate-Independent Sparse Estimation in Semiparametric Models
Haileab Hilafu, University of Tennessee

2:30 PM

Expected Volume Confidence Region Complexity (EVCR_COMP) Criterion in High Dimensions with Applications
Hamparsum Bozdogan, University of Tennessee

CS13 - Social Network Analysis
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Lake Fairfax A

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

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

1:30 PM

Social Networks and Simplicial Complexes
Presentation Daniele Struppa, Chapman University

2:00 PM

Reflections on Computational Social Science, in Honor of Ed Wegman
Claudio Cioffi-Revilla, George Mason University

2:30 PM

The Big Picture: Big Data, Big Theory, and Big Challenges
Presentation William G. Kennedy, George Mason University

CS14 - Monitoring Financial Stability with Data Science
Invited

Thu, May 17, 1:30 PM - 3:00 PM
Lake Fairfax B

Organizer(s): Shawn Mankad, Cornell University

Chair(s): Shawn Mankad, Cornell University

1:30 PM

Modeling and Prediction of Financial Trading Networks: An Application to the NYMEX Natural Gas Futures Market
Abel Rodriguez, University of California, Santa Cruz

2:00 PM

Elicitability and Backtesting: Perspectives for Banking Regulation
Natalia Nolde, University of British Columbia

2:30 PM

Systemic Risk from Asset Concentration and Common Holdings among Banks
Celso Brunetti, Federal Reserve Board

PS03 - Bayesian Modeling
E-Poster

Thu, May 17, 3:00 PM - 3:45 PM
Regency Ballroom B

Bayesian Modeling of Non-Stationary, Univariate, Spatial Data
Margaret Goldman, U.S. Geological Survey

Choosing Among a Class of Zellner’s g-Priors in Bayesian Regression Models and Subset Selection of Variables Using the Genetic Algorithm and Information Complexity
Yaojin Sun, The University of Tennessee

Lagged Exact Bayesian Online Changepoint Detection
Michael Byrd, Southern Methodist University

Constrained Bayesian Inference through Posterior Projections
Sayan Patra, Duke University

On the Quantification and Efficient Propagation of Imprecise Probabilities Using Monte Carlo Methods
Jiaxin Zhang, Johns Hopkins University

Bayesian Optimization of Personalized Models for Real-Time Patient Monitoring
Glen Wright Colopy, Oxford University

CS15 - Best of Computational and Graphical Statistics
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Grand Ballroom E

Organizer(s): Di Cook, Monash University

Chair(s): Catherine Hurley, Maynooth University

3:30 PM

Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics
Susan Ruth VanderPlas, Nebraska Public Power District

4:00 PM

Fused Lasso Additive Model
Presentation Ashley Petersen, Division of Biostatistics, University of Minnesota

4:30 PM

Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE
Daniel Turek, Williams College

CS16 - Text Data Analytics and Visualization
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Grand Ballroom E

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

Chair(s): Kelly S Marczynski, SUNY Buffalo State

3:30 PM

Algorithmic and Visualization Frameworks to Facilitate the Revelation of Interesting Structure in Document Collections
Jeffrey L. Solka, Naval Surface Warfare Center

4:00 PM

Fast k Nearest Neighbor Graph Construction Experiments on a Large Scientific Publication Corpus
Avory Bryant, Naval Surface Warfare Center

4:30 PM

Leveraging Automated Storytelling With b-Privy Analytics: Creating Plausible Explanations of Emerging Technologies to Mitigate Surprise
John T. Rigsby, Naval Surface Warfare Center

CS17 - Data Science at the National Institute of Statistical Sciences
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Grand Ballroom G

Organizer(s): Jim Rosenberger, NISS and Pennsylvania State University

Chair(s): Jim Rosenberger, NISS and Pennsylvania State University

3:30 PM

Using Administrative Data to Produce Official Statistics: An Application to End-Of-Season Acreage Estimation
Presentation Andreea L Erciulescu, National Institute of Statistical Sciences and USDA National Agricultural Statistics Service

4:00 PM

Future of Integer Calibration Weighting Methods
Presentation Luca Sartore, National Institute of Statistical Sciences

4:30 PM

The NCES/NISS Partnership: Data Collection Efforts/Structures/New Initiatives
Nell Sedransk, National Institute of Statistical Sciences

CS18 - Nonlinear Dimension Reduction
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Regency Ballroom A

Organizer(s): Michael Trosset, Indiana University

Chair(s): Michael Trosset, Indiana University

3:30 PM

Optimality of the Johnson-Lindenstrauss Lemma
Jelani Nelson, Harvard University

4:00 PM

Matrix Sketching for Alternating Direction Method of Moments Optimization
Presentation Daniel McDonald, Indiana University

4:30 PM

Optimal Dimensionality Reduction for Non-Linear Clustering Via Nystrom Approximation
Presentation Alex Gittens, Rensselaer Polytechnic Institute

CS19 - CyberLanguage: Applications of Natural Language Processing to CyberSecurity
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Lake Fairfax A

Organizer(s): Joseph Marr, DZYNE Technologies

Chair(s): Joseph Marr, DZYNE Technologies

3:30 PM

Network Traffic Anomaly Detection Using Recurrent Neural Networks
Benjamin Radford, KeyW

4:00 PM

Modeling Machine-to-Machine Cyber Data as Discrete Sequences of Activity
Bartley Richardson, KeyW

4:30 PM

Time Series Pattern Mining and Visualization Using Statistical Language Processing Techniques
Jessica Lin, George Mason University

CS20 - Differential and Bitcoin Privacy
Invited

Thu, May 17, 3:30 PM - 5:00 PM
Lake Fairfax B

Organizer(s): Roy E. Welsch, MIT

Chair(s): Roy E. Welsch, MIT

3:30 PM

Differentially Private Model Selection with Penalized and Constrained Likelihood
Presentation Jing Lei, Carnegie Mellon University

4:00 PM

Blockchain Technology: A New Approach to Digital Privacy?
Christian Catalini, MIT

4:30 PM

Differentially Private Parametric Inference
Marco Avella Medina, MIT

CS21 - Computational Text Processing
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Grand Ballroom E

Organizer(s): Mark Hansen, Columbia

Chair(s): Mark Hansen, Columbia

5:15 PM

Modeling and Understanding Language with Neural Networks Using Spark and R
Ali Zaidi, Microsoft AI and Research

5:45 PM

Computational Propaganda
Mark Hansen, Columbia

CS22 - Distinguished Colleagues of Edward Wegman: Mathematical Physics
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Grand Ballroom F

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

Chair(s): David Marchette, Naval Surface Warfare Center

5:15 PM

Laws of the Universe, Information and Mind in the Quantum Universe
Menas C. Kafatos, Chapman University

5:45 PM

Exploring and Exploiting Interestingness in Data Science
Presentation Kirk Borne, Booz Allen Hamilton

CS23 - Data Science Platforms I
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Grand Ballroom G

Organizer(s): Jim Harner, West Virginia University

Chair(s): Jim Harner, West Virginia University

5:15 PM

Automating Data Science Processes with H2O Driverless AI
Presentation Patrick Hall, H2O.ai

5:45 PM

Building Data Science Platforms Using Docker
Jim Harner, West Virginia University

CS24 - TensorFlow
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Regency Ballroom A

Organizer(s): Tim Hesterberg, Google

Chair(s): Tim Hesterberg, Google

5:15 PM

TensorFlow Autograph: Source Code Transformation for Easier TensorFlow
Alex Wiltschko, Google

5:45 PM

Machine Learning with TensorFlow and R
J.J. Allaire, Rstudio

CS25 - Time Series Modeling
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Lake Fairfax A

Organizer(s): Jim Harner, West Virginia University

Chair(s): Rida Moustafa, Walmart

5:15 PM

The Divergence Between Observed and Modeled Temperature Trends in the Tropical Troposphere 1958-2017
Ross McKitrick, University of Guelph

5:45 PM

Forecasting with Many Predictors
Presentation Kyle Caudle, SD School of Mines and Technology

CS26 - Combining Federal and Regional Data Sources: Challenges and Solutions
Invited

Thu, May 17, 5:15 PM - 6:15 PM
Lake Fairfax B

Organizer(s): Lingzhou Xue, Pennsylvania State University

Chair(s): Nell Sedransk, National Institute of Statistical Sciences

5:15 PM

Six Classes of Methodological Research Questions in the Integration of Multiple Data Sources for Granular Estimation
John Eltinge, U.S. Census Bureau

5:35 PM

Use of the Quarterly Census of Employment and Wages and Third-Party Sources for EIA Surveys
Nanda Srinivasan, Energy Information Administration

5:55 PM

Discussant
Jim Rosenberger, NISS and Pennsylvania State University

PS04 - Machine Learning Applications
E-Poster

Thu, May 17, 6:15 PM - 7:15 PM
Regency Ballroom B

Penalized Regression Within the Game Cribbage
Presentation Christopher Silberstein, The Ohio State Univerisity

Diagnosing and Predicting the Eyewall Replacement Cycle: Learning from Hurricane Irma
Martha Lisbeth Christino, T.C. Williams High School

Random Forest Prediction Intervals
Haozhe Zhang, Iowa State University

Machine Learning for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics
Presentation Lasith Adhikari, University of Florida

Predicting Human Alteration of River and Stream Salinity Using Random Forest Models
Presentation Franco Alexis Sanchez, California State University, Monterey Bay, Department of Mathematics and Statistics

Performance of Cross-Validation of Binary Longitudinal Finite Mixture Models: A Simulation and Application.
Presentation Thom J Taylor, Nicklaus Childrens Research Institute

The Sliding Window Fourier Transform
Presentation Lee F Richardson, Carnegie Mellon university

Machine Learning Improved Classification of Psychoses using Clinical and Biological stratification: Update from the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP)
Suraj Sarvode Mothi, Department of Psychiatry, Massachusetts General Hospital

Inter- and Intra-Institutional Efforts to Build Capacity for Data Science Education
Presentation Douglas Landsittel, University of Pittsburgh

GS02 - Symposium on Data Science & Statistics Banquet
General Session

Thu, May 17, 7:15 PM - 8:30 PM
Grand Ballroom D

I Never Met a Datum I Didn’t Like
Barry D. Nussbaum, 2017 President, American Statistical Association

Online Program

Key:

ASA Meetings Department