All Times ET

Key:

Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Friday, June 10

Registration
SDSS Hours

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

SDSS Expo
SDSS Hours

Fri, Jun 10, 8:00 AM - 11:30 AM
Allegheny Grand Ballroom Foyer

PS04 - New Models, Methods, and Applications I, Part 2
Lightning Poster

Fri, Jun 10, 8:15 AM - 9:00 AM
Allegheny I

Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction
Yoann Valero, LIST3N, Université de Technologie de Troyes

Variable Importance Confidence Intervals within Random Forest
Heather Lynn Cook, University of Southern Indiana

CGMM: an algorithm for constrained model-based clustering
Jian Zou, Department of Biostatistics, School of Public Health, University of Pittsburgh

A Semiparametric Modeling Approach for Analyzing Clinical Biomarkers Restricted to Limits of Detection
Sandipan Dutta, Old Dominion University

Bayesian Poisson Model with Spatio-temporal Structure for Mortality Projection of Multi-population
Zhen Liu, Department of Mathematics & Statistics, Georgetown University

Empirically adjusted weighted ordered p-values method for meta-analysis
Sinjini Sikdar, Old Dominion University

Confidence Intervals for Genetic Correlation via Parametric Bootstrap
Yi-Ting Tsai, Harvard T.H. Chan School of Public Health

A California Wetland Case Study: A Novel, Predictive Approach to Monitor Estuarine Health
Vedant Janapaty, Silver Creek High School

A New, Global Estimate of Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems
Shloka V. Janapaty, Columbia University

CS22 - Contributions to Model Methods and Applications
Refereed

Fri, Jun 10, 9:00 AM - 10:30 AM
Allegheny Grand Ballroom

Chair(s): Claire Bowen, Urban Institute

9:05 AM

Mixed Effects State Space Models on Research and Development Performance in the New Energy Vehicle Industry
Mingzhao Hu, University of California, Santa Barbara

9:30 AM

Bayesian Nested Latent Class Models for Cause-of-Death Assignment Using Verbal Autopsies Across Multiple Domains
Zehang Li, University of California, Santa Cruz

9:55 AM

High-Dimensional Causal Mediation Analysis Based on Partial Linear Structural Equation Models
Xizhen Cai, Williams College

CS23 - Non-Parametric Approaches
Refereed

Fri, Jun 10, 9:00 AM - 10:30 AM
Butler

Chair(s): Kevin Lin, University of Pennsylvania

9:05 AM

The AUGUST Two-Sample Test: Powerful, Interpretable, and Fast
Benjamin Lewis Brown, Statistics and Operations Research, UNC Chapel Hill

9:30 AM

A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction
Chunming Zhang, University of Wisconsin-Madison

CS24 - New Models, Methods, and Applications II
Lightning

Fri, Jun 10, 9:00 AM - 10:30 AM
Cambria

Chair(s): Yaomin Xu, Vanderbilt University Medical Center

9:05 AM

Manifold learning analysis suggests novel strategies to align single-cell multi-modal data of neuronal electrophysiology and transcriptomics
Jiawei Huang, University of Cincinnati

9:10 AM

Spatiotemproal Zero-Inflated Bayesian Negative Binomial Regression Nearest Neighbor Gaussian Process Models
Hsin-Hsiung Huang, University of Central Florida

9:15 AM

Imperfect Imputation: Adjusting for the Error Incurred when We Impute
Presentation Kyle Frederic Grosser, University of North Carolina at Chapel Hill

9:20 AM

A Case Study with RCT of Varenicline Using Two Machine Learning Approaches
Alondra Cruz, University of California, Los Angeles

9:25 AM

A Brief Review of Blockchain Technology and Impact on Practice of Data Science
David Han, UT San Antonio

9:30 AM

Partial Aggregation Imputation in Geographical Energy Statistics Reporting Networks
Glen Haynes, Energy Information Administration

9:35 AM

On p-value combination of independent and frequent signals
Yusi Fang, Department of Biostatistics, Univertisy of Pittsburgh

9:40 AM

Random Forest Is a Robust Model Choice on Feature Transformed Data for Binary Classification Task
Emma Minasyan, Mimecast

9:45 AM

Ensemble Learning Models for Biomass Estimation and Species Classification of Intertidal Macroalgae Using In-situ and Remote Sensing Spectrometry
Ernst Linder, University of New Hampshire

PS05 - New Models, Methods, and Applications II, Part 2
Lightning Poster

Fri, Jun 10, 10:30 AM - 11:25 AM
Allegheny I

Manifold learning analysis suggests novel strategies to align single-cell multi-modal data of neuronal electrophysiology and transcriptomics
Jiawei Huang, University of Cincinnati

Spatiotemproal Zero-Inflated Bayesian Negative Binomial Regression Nearest Neighbor Gaussian Process Models
Hsin-Hsiung Huang, University of Central Florida

Imperfect Imputation: Adjusting for the Error Incurred when We Impute
Kyle Frederic Grosser, University of North Carolina at Chapel Hill

A Case Study with RCT of Varenicline Using Two Machine Learning Approaches
Alondra Cruz, University of California, Los Angeles

A Brief Review of Blockchain Technology and Impact on Practice of Data Science
David Han, UT San Antonio

Partial Aggregation Imputation in Geographical Energy Statistics Reporting Networks
Glen Haynes, Energy Information Administration

On p-value combination of independent and frequent signals
Yusi Fang, Department of Biostatistics, Univertisy of Pittsburgh

Random Forest Is a Robust Model Choice on Feature Transformed Data for Binary Classification Task
Emma Minasyan, Mimecast

Ensemble Learning Models for Biomass Estimation and Species Classification of Intertidal Macroalgae Using In-situ and Remote Sensing Spectrometry
Ernst Linder, University of New Hampshire

LB - CANCELED Leland Wilkinson: A Graphic Life
Late Breaking

Fri, Jun 10, 11:30 AM - 1:00 PM
Allegheny Grand Ballroom

CS25 - Methods and Studies to Identify Important Variables
Refereed

Fri, Jun 10, 11:30 AM - 1:00 PM
Butler

Chair(s): Donna LaLonde, American Statistical Association

11:35 AM

Analyzing the Impact of Different Countries’ Approaches to the COVID-19 Pandemic on Their Cumulative Infection Curves by Using Nonparametric Density Regression and Clustering Methods
Presentation Damian Musk, Stanford OHS

12:00 PM

Water Statistics: A Study Comprehending Several Techniques and Periods at a University
Elisa Henning, Santa Catarina State University

12:25 PM

Partially Constrained Group Variable Selection to Adjust for Complementary Unit Performance in American College Football
Andrey Skripnikov, New College of Florida

CS26 - Cluster and Graphical Analyses
Refereed

Fri, Jun 10, 11:30 AM - 1:00 PM
Cambria

Chair(s): Claire Bowen, Urban Institute

11:35 AM

Conservative Causal Discovery by Use of Supervised Machine Learning
Presentation Anne Helby Petersen, University of Copenhagen

12:00 PM

Accounting for Model Misspecification When Using Pseudolikelihood for ERGMs
Presentation David R Hunter, Penn State University

12:25 PM

A New Algorithm for Robust Affine-Invariant Clustering
Michael Pokojovy, The University of Texas at El Paso

GS03 - SDSS Wrap-Up & Fireside Chat
General Session

Fri, Jun 10, 1:10 PM - 1:30 PM
Allegheny Grand Ballroom

Chair(s): Emily Dodwell, AT&T

Conference Program

Key:

American Statistical Association