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Viewing Track 'Computational Statistics' only
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Key:
Computational Statistics
Data Visualization
Education
Machine Learning
Practice and Applications
Software & Data Science Technologies
Wednesday, June 8
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.
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
1
Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
Boampong Adu Asare, United Tribes Technical College
2
Skeleton Regression: A Graph-Based Approach to Estimation on Manifold
Zeyu Wei, University of Washington
3
Long-Range Dependence in Low-Frequency Earthquake Catalogs
Ariane Ducellier, University of Washington
4
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
Ryan Peterson, Colorado School of Public Health
5
Non-parametric identification and estimation of interactions using stochastic intervention target parameters: implications for mixed exposure analysis.
David Brenton McCoy, University of California Berkeley
6
Sparse Bayesian Matrix-variate Regression with High-dimensional Data
Hsin-Hsiung Huang, University of Central Florida
7
Distribution Free Bootstrap Prediction Intervals After Variable Selection
Lasanthi Watagoda, Appalachian State University
8
Oblique and Non-Linear Survival Trees Based on Dipolar Splitting Criteria
Drew Lazar, Ball State University
9
SMRT: A Structural Model of Latent Ratings and Topics in Text
Desheng Ma, Cornell University
10
Alternatives to ANOVA and Regression Amidst Non-normality: Relative Hypothesis Test Performance
Anthony J. Bishara, College of Charleston
11
Optimisation of relay team selection for various swimming configurations
Gary David Sharp, Nelson Mandela University
12
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
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
Thursday, June 9
CS12 -
High-dimensional Statistics
Refereed
Thu, Jun 9, 10:30 AM - 12:00 PM
Cambria
Chair(s): Xiaoqian Liu, North Carolina State University
10:35 AM
Comparing Methods for Statistical Inference with Model Uncertainty
Anupreet Porwal, University of Washington
11:00 AM
UniCATE: Flexible Predictive Biomarker Discovery
Presentation
Philippe Boileau, Graduate Group in Biostatistics and Center for Computational Biology, UC Berkeley; Roche Canada
11:25 AM
Generalizable Manifold Learning for Dimensional Reduction
Jungeum Kim, Purdue University
CS21 -
New Models, Methods, and Applications I
Lightning
Thu, Jun 9, 3:45 PM - 5:15 PM
Fayette
Chair(s): Francis Bilson Darku, University of Notre Dame
3:50 PM
CGMM: an algorithm for constrained model-based clustering
Jian Zou, Department of Biostatistics, School of Public Health, University of Pittsburgh
3:55 PM
A Semiparametric Modeling Approach for Analyzing Clinical Biomarkers Restricted to Limits of Detection
Sandipan Dutta, Old Dominion University
4:00 PM
Bayesian Poisson Model with Spatio-temporal Structure for Mortality Projection of Multi-population
Zhen Liu, Department of Mathematics & Statistics, Georgetown University
4:05 PM
Empirically adjusted weighted ordered p-values method for meta-analysis
Sinjini Sikdar, Old Dominion University
4:10 PM
Confidence Intervals for Genetic Correlation via Parametric Bootstrap
Yi-Ting Tsai, Harvard T.H. Chan School of Public Health
4:15 PM
A California Wetland Case Study: A Novel, Predictive Approach to Monitor Estuarine Health
Vedant Janapaty, Silver Creek High School
4:20 PM
Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction
Presentation
Yoann Valero, LIST3N, Université de Technologie de Troyes
4:25 PM
Variable Importance Confidence Intervals within Random Forest
Presentation
Heather Lynn Cook, University of Southern Indiana
4:30 PM
A New, Global Estimate of Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems
Shloka V. Janapaty, Columbia University
Friday, June 10
PS04 -
New Models, Methods, and Applications I, Part 2
Lightning Poster
Fri, Jun 10, 8:15 AM - 9:00 AM
Allegheny I
1
Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction
Yoann Valero, LIST3N, Université de Technologie de Troyes
2
Variable Importance Confidence Intervals within Random Forest
Heather Lynn Cook, University of Southern Indiana
3
CGMM: an algorithm for constrained model-based clustering
Jian Zou, Department of Biostatistics, School of Public Health, University of Pittsburgh
4
A Semiparametric Modeling Approach for Analyzing Clinical Biomarkers Restricted to Limits of Detection
Sandipan Dutta, Old Dominion University
5
Bayesian Poisson Model with Spatio-temporal Structure for Mortality Projection of Multi-population
Zhen Liu, Department of Mathematics & Statistics, Georgetown University
6
Empirically adjusted weighted ordered p-values method for meta-analysis
Sinjini Sikdar, Old Dominion University
7
Confidence Intervals for Genetic Correlation via Parametric Bootstrap
Yi-Ting Tsai, Harvard T.H. Chan School of Public Health
8
A California Wetland Case Study: A Novel, Predictive Approach to Monitor Estuarine Health
Vedant Janapaty, Silver Creek High School
9
A New, Global Estimate of Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems
Shloka V. Janapaty, Columbia University
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
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
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