Online Program
Return to main conference page
Viewing Track 'Computational Statistics' only
Back to search menu
Key:
Applications
Computational Statistics
Computing Science
Data Science
Data Visualization
Machine Learning
Thursday, May 17
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
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
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
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
Friday, May 18
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
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
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
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
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
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
Saturday, May 19
CS57 -
Analyses Using Complex Models
Invited
Sat, May 19, 8:30 AM - 10:00 AM
Regency Ballroom A
Organizer(s): Yasmin H. Said, George Mason University
Chair(s): Wendy Martinez, U.S. Bureau of Labor Statistics
8:30 AM
Robust Multivariate Outlier Diagnostics in Chemometrics with Application to Spectrally Overlapping Drugs
Presentation
Aylin Alin, Dokuz Eylul University
9:00 AM
Statistical Learning in Big Data Analytics
S. Ejaz Ahmed, Brock University
9:30 AM
Recovery of Ruin Probability and Value at Risk from the Scaled Laplace Transform Inversion
Presentation
Adetokunbo Fadahunsi, West Virginia University
CS64 -
Bioinformatics
Contributed
Sat, May 19, 10:30 AM - 12:00 PM
Regency Ballroom A
Chair(s): Suchismita Goswami, Computational Data Science, George Mason University
10:30 AM
Method Selection and Graphical Network: Applications to Gene Expression Data
Presentation
Demba Fofana, University of Texas Rio Grande Valley
10:45 AM
Scalable and Flexible Probabilistic PCA for Large-Scale Genetic Variation Data
Presentation
Sriram Sankararaman, UCLA
11:00 AM
Type-I Error Rate of a One-Way ANOVA in the Case of a Large Number of Factors With Small Replications
Sharad Silwal, Jefferson College of Health Sciences
11:15 AM
Big Data Distributed System for Phenome and Genome Management and Analysis in a Large Health System
Wendy S.W. Wong, Inova Translational Medicine Institute
11:30 AM
Floor Discussion
CS69 -
Image and High-Dimensional Processing
Contributed
Sat, May 19, 1:15 PM - 2:45 PM
Regency Ballroom A
Chair(s): Adetokunbo Fadahunsi, West Virginia University
1:15 PM
Analysis of Diagnostic Tests in the CTC Images for Detecting Colon Polyps
Krishna K Saha, Central CT State University
1:30 PM
Sequential Multi-Aspect Monitoring Multivariate and High-Dimensional Data
Amitava Mukherjee, XLRI - Xavier School of Management
1:45 PM
Robust Analysis of High Dimensional Data
Quefeng Li, UNC Chapel Hill
2:00 PM
Anisotropic Functional Laplace Deconvolution
Presentation
RASIKA RAJAPAKSHAGE, University of Central Florida
2:15 PM
Bayesian Variable Selection Using Spike and Slab Prior With Application to High Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut
2:30 PM
Floor Discussion
↑