All Times ET

Key:

Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Wednesday, June 8

Registration
SDSS Hours

Wed, Jun 8, 8:00 AM - 5:15 PM
Allegheny Grand Ballroom Foyer

SDSS Expo
SDSS Hours

Wed, Jun 8, 8:00 AM - 4:00 PM
Allegheny Grand Ballroom Foyer

GS01 - Welcome and Opening Plenary: Science and Technology Policy Panel
General Session

Wed, Jun 8, 9:00 AM - 10:15 AM
Allegheny Grand Ballroom

Chair(s): Claire Bowen, Urban Institute

CS01 - Using Statistics to Prepare for the Future
Refereed

Wed, Jun 8, 10:30 AM - 12:00 PM
Allegheny Grand Ballroom

Chair(s): Emily Griffith, Data Science Academy, NC State

10:35 AM

Storm-Based Estimation of Design Snow Load on Solar Panels
Presentation Kenneth Kin Pomeyie, Utah State University

11:00 AM

Forecasting Weekly Natural Gas Consumption in Residential and Commercial Sectors in the Northeast Region of the US
Yunwei Cui, Towson University

11:25 AM

Optimal Congestion Control Strategies for Near-Capacity Urban Metros: Informing Intervention via Fundamental Diagrams
Anupriya -, Imperial College London

CS02 - Time Analyses
Refereed

Wed, Jun 8, 10:30 AM - 12:00 PM
Butler

Chair(s): Michael Pokojovy, The University of Texas at El Paso

10:35 AM

Spectral Clustering for Multi-Layer Stochastic Block Models: Theoretical Analysis of Static and Dynamic Settings for Heterophilic Networks
Kevin Lin, University of Pennsylvania

11:00 AM

Forecasting Hierarchical Time Series
Presentation Seema Sangari, Kennesaw State University

11:25 AM

A Time-to-Event Framework for Multi-Touch Attribution
Presentation Dinah Shender, Google, Inc.

CS03 - Functional Data Analysis
Refereed

Wed, Jun 8, 10:30 AM - 12:00 PM
Cambria

Chair(s): Hasthika Rupasinghe, Appalachian State University

10:35 AM

Deep Neural Network Classifier for Multi-Dimensional Functional Data
Presentation Shuoyang Wang, Auburn University

11:00 AM

Optimal Classification for Functional Data
Guanqun Cao, Auburn University

11:25 AM

Forecasting Multivariate Functional Time Series: Multivariate Functional Singular Spectrum Analysis Approaches
Mehdi Maadooliat, Marquette University

CS04 - Financial Data Applications
Refereed

Wed, Jun 8, 1:15 PM - 2:45 PM
Allegheny Grand Ballroom

Chair(s): Faith (Yueqiao) Zhang, University of Massachusetts Amherst

1:20 PM

Realtime Detection of Bitcoin Bubbles and Estimation of Bubble Formation Time
Min Shu, University of Wisconsin-Stout

1:45 PM

Polynomial Quantile Mixture of Hyperbolic Secant Distribution
Mohan Dev Pant, School of Health Professions, Eastern Virginia Medical School

2:10 PM

Early Warning Signals from Early-Exercise Premia
Ricky Rambharat, Office of the Comptroller of the Currency

CS05 - Data Visualization Tools
Refereed

Wed, Jun 8, 1:15 PM - 2:45 PM
Butler

Chair(s): Ali Rahnavard, The George Washington University

1:20 PM

2020 Census County Assessment Tool
Isabel Youngs, Georgetown University

1:45 PM

Exploring Rural Shrink Smart Through Guided Discovery Dashboards
Denise Bradford, University of Nebraska - Lincoln

2:10 PM

Ggdensity: Improved Bivariate Density Visualization in R
James Otto, Baylor University Department of Statistical Science

CS06 - Designing Data Science Curricula
Refereed

Wed, Jun 8, 1:15 PM - 2:45 PM
Cambria

Chair(s): Alicia Lamere, Bryant University

1:20 PM

Teaching Visual Accessibility in the Introductory Data Science Classes: Why, What, When, and How
JooYoung Seo, University of Illinois at Urbana-Champaign

1:45 PM

Evaluation of EDISON's Data Science Framework via Literature Analysis
Karl RB Schmitt, Trinity Christian College

CS07 - Modeling + Non-Parametric Methods
Lightning

Wed, Jun 8, 1:15 PM - 2:45 PM
Fayette

Chair(s): Emily Dodwell, AT&T

1:20 PM

Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
Presentation Boampong Adu Asare, United Tribes Technical College

1:25 PM

Skeleton Regression: A Graph-Based Approach to Estimation on Manifold
Presentation Zeyu Wei, University of Washington

1:30 PM

Long-Range Dependence in Low-Frequency Earthquake Catalogs
Presentation Ariane Ducellier, University of Washington

1:35 PM

Non-parametric identification and estimation of interactions using stochastic intervention target parameters: implications for mixed exposure analysis.
David Brenton McCoy, University of California Berkeley

1:40 PM

Sparse Bayesian Matrix-variate Regression with High-dimensional Data
Hsin-Hsiung Huang, University of Central Florida

1:45 PM

Distribution Free Bootstrap Prediction Intervals After Variable Selection
Lasanthi Watagoda, Appalachian State University

1:50 PM

SMRT: A Structural Model of Latent Ratings and Topics in Text
Desheng Ma, Cornell University

1:55 PM

Alternatives to ANOVA and Regression Amidst Non-normality: Relative Hypothesis Test Performance
Presentation Anthony J. Bishara, College of Charleston

2:00 PM

Oblique and Non-Linear Survival Trees Based on Dipolar Splitting Criteria
Drew Lazar, Ball State University

2:05 PM

Optimisation of relay team selection for various swimming configurations
Presentation Gary David Sharp, Nelson Mandela University

2:10 PM

Can a novel human-centered machine learning algorithm predict better than its black-box counterparts? A benchmarking study of transparency-motivated ranked sparsity methods using 66 diverse datasets
Presentation Ryan Peterson, Colorado School of Public Health

2:15 PM

A Comparison of Time Series Model Fitting using Traditional Time Series Models vs. Deep Learning Models including RNN and LSTM to Stock Market Data of Big Tech Companies in the US
Benjamin Houghton, Georgetown University

PS01 - Modeling + Non-Parametric Methods, Part 2
Lightning Poster

Wed, Jun 8, 2:45 PM - 3:40 PM
Allegheny I

Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
Boampong Adu Asare, United Tribes Technical College

Skeleton Regression: A Graph-Based Approach to Estimation on Manifold
Zeyu Wei, University of Washington

Long-Range Dependence in Low-Frequency Earthquake Catalogs
Ariane Ducellier, University of Washington

Sparse Bayesian Matrix-variate Regression with High-dimensional Data
Hsin-Hsiung Huang, University of Central Florida

Distribution Free Bootstrap Prediction Intervals After Variable Selection
Lasanthi Watagoda, Appalachian State University

Oblique and Non-Linear Survival Trees Based on Dipolar Splitting Criteria
Drew Lazar, Ball State University

SMRT: A Structural Model of Latent Ratings and Topics in Text
Desheng Ma, Cornell University

Alternatives to ANOVA and Regression Amidst Non-normality: Relative Hypothesis Test Performance
Anthony J. Bishara, College of Charleston

Optimisation of relay team selection for various swimming configurations
Gary David Sharp, Nelson Mandela University

CS08 - Classification Methods and Clustering Analysis
Refereed

Wed, Jun 8, 3:45 PM - 5:15 PM
Allegheny Grand Ballroom

Chair(s): Katharine Correia, Amherst College

3:50 PM

A Brief Overview of Explainable and Interpretable AI
Presentation William Franz Lamberti, University of Virginia

4:15 PM

K-Means Clustering Applied to the Analysis of Wearables and Biosensors from Clinical Trial Data
Vanja Vlajnic, Colorado State University

CS09 - Bayesian Approaches
Refereed

Wed, Jun 8, 3:45 PM - 5:15 PM
Butler

Chair(s): Guanqun Cao, Auburn University

3:50 PM

Learning Bayesian Networks Through Birkhoff Polytope: A Relaxation Method
Aramayis Dallakyan, Texas A&M University

4:15 PM

Model Selection in Gaussian and Poisson Longitudinal Distributed Lag Models with Variational AICs
Mark J Meyer, Georgetown University

4:40 PM

FROSTY: A High-Dimensional, Scale-Free Bayesian Network Learning Method
Presentation Joshua Bang, University of California, Santa Barbara

CS10 - Applications in Social & Behavioral Sciences
Lightning

Wed, Jun 8, 3:45 PM - 5:15 PM
Fayette

Chair(s): Donna LaLonde, American Statistical Association

3:50 PM

Predicting Census Survey Response Rates via Additive Regression with Interactions
Shibal Ibrahim, MIT

3:55 PM

Partial Association Between Mixed Data: Assessing the Impact of COVID-19 on College Student Well-Being
Zhaohu(Jonathan) Fan, University of Cincinnati

4:00 PM

Does the state-based forward guidance change the way policymakers talk about the outlook and the way nancial markets respond to economic news?
Taeyoung Doh, Federal Reserve Bank of Kansas City

4:05 PM

Modeling the Covid effect on Gasoline Price Changes using Latent Markov Models
Rasitha R Jayasekare, Butler University

4:10 PM

Understanding information about COVID-19: how reliability of used sources and level of understanding influence adherence to sanitary measures in Canada
Presentation Clémentine Courdi, Université de Montréal

4:15 PM

The Data Mine: Experiential Industry Practicums in Data Science
Presentation Margaret Betz, Purdue University - The Data Mine

4:20 PM

Data Science Consulting and Collaboration: A Cooperative Adventure
Mara Blake, NC State University Libraries

4:25 PM

Patterns of Mental Health Problems Among General Population Before and After Easing COVID-19 Restrictions
Depeng Jiang, University of Manitoba

4:30 PM

Multivariate time series analysis and forecasting of US unemployment rate
VIJAYKUMAR RAJARAM REDDIAR, CENTRAL CONNECTICUT STATE UNIVERSITY

4:35 PM

A Fast Initial Response Approach to Real-Time Financial Surveillance
Andrews T. Anum, The University of Texas at El Paso

Conference Program

Key:

American Statistical Association