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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 2
CS02 -
Bayesian Approaches
Refereed
Wed, Jun 2, 1:10 PM - 2:45 PM
Chair(s): Claire Bowen, Urban Institute
1:15 PM
Parameter Estimation for Ising Model with Variational Bayes
Presentation
Minwoo Kim, Michigan State University
1:45 PM
Bayesian Heteroskedasticity-Robust Regression
Gabriel Durbin Lewis, University of Massachusetts Amherst
2:15 PM
A Scalable Bayesian Hierarchical Modeling Approach for Large Spatio-Temporal Count Data
Presentation
Aritz Adin, Public University of Navarre
Thursday, June 3
CS07 -
Estimation Techniques
Refereed
Thu, Jun 3, 10:00 AM - 11:35 AM
Chair(s): Jean Opsomer, Westat
10:05 AM
A New Sufficient Dimension Reduction Predictive Model Using Maximum Entropy Covariance Estimator with Information Complexity
Presentation
Kabir Opeyemi Olorede, Kwara State University
10:35 AM
Quantile Shrinkage Covariance Estimation
qiyu wang, Hong Kong Polytechnic Univ
11:05 AM
Nonparametric Application of Functional Analysis of Generalized Linear Models Under Nonlinear Constraints
Kali Prasun Chowdhury, University of California, Irvine
CS15 -
Addressing Big Data Challenges: Topics in Deep Learning and Model Monitoring
Lightning
Thu, Jun 3, 1:10 PM - 2:45 PM
Chair(s): SHUOYANG WANG, Auburn University
1:15 PM
WITHDRAWN Visual Similarity in Ranking E-Commerce Listings
1:20 PM
Automated Active Monitoring of Production Machine Learning Models
Katie Anne Bakewell, NLP Logix
1:25 PM
WITHDRAWN A Novel Machine Learning Approach for Humanitarian Relief Assistance After Natural Disasters
1:30 PM
A Brief Review of Quantum Computation, Quantum Algorithms, and Impact on Practice of Data Science
David Han, The University of Texas at San Antonio
1:35 PM
Score-Based Change Detection for Gradient-Based Learning Machines
Presentation
Lang Liu, University of Washington
1:40 PM
Tolstoy Targets: An efficient niche graph.
Dennis Sweitzer, YPrime
1:45 PM
Monitoring of sunspot number observations based on neural networks
Sophie Mathieu, UCLouvain
1:50 PM
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang, Johnson & Johnson
1:55 PM
Self-Supervised Learning for Robust Image Classification
Presentation
Ladyna Wittscher, Friedrich-Schiller-Universität Jena
2:00 PM
Bayesian forward modeling of high-resolution radio interferometric gravitational lens observations
Presentation
Devon Powell, Max Planck Institute for Astrophysics
2:05 PM
Modeling Implicit Feedback in Visual Recommendations for E-Commerce
Julia Zhou, Etsy, Inc
2:10 PM
Contextual Matching via Graph Representation Learning with Side Information
Chris Xu, Etsy
2:15 PM
Loss convergence in a causal Bayesian neural network of retail firm performance
F. Trevor Rogers, University of Hawaii, Manoa
2:20 PM
WITHDRAWN Statistically Structured Computations vs. Perceptron Computations: New Opportunities
Friday, June 4
CS17 -
Simulation-Based Statistics
Refereed
Fri, Jun 4, 11:25 AM - 1:00 PM
Chair(s): Sinjini Sikdar, Old Dominion University
11:30 AM
Local Two-Sample Testing by Random-Walk Distributions
Boris Landa, Yale University
12:00 PM
K-Fold Cross-Validation for Complex Sample Surveys
Presentation
Jerzy Wieczorek, Colby College
12:30 PM
The Impact of Bias Correction on Bootstrap Confidence Intervals for the First Order Bifurcating Autoregressive Model
Presentation
Tamer Elbayoumi, North Carolina A&T State University
CS21 -
What Do I Use Computational Statistics For?
Refereed
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Donna LaLonde, American Statistical Association
1:25 PM
A Statistical Analysis to Determine the Distribution and Pattern for an Insurance Claim Data
Sikiru Ademola Adewale, Virginia Tech
1:55 PM
'To Book or Not to Book': Exploring the Determinants of Successful Airbnb Bookings Across Multiple Geographies
Presentation
Pooja Sengupta, International Management Institute, Kolkata
2:25 PM
Sparse Bayesian Predictive Modeling of Tumor Response from Radiomic Data
Presentation
Shirin Golchi, McGill University
CS24 -
New Models and Methods
Lightning
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Md Jobayer Hossain, Nemours Children Hospital System, A. I. Dupont Hospital for Children
1:25 PM
Likert-type scale variables analysed through CUB models: a review
Nicolò Biasetton, Università degli Studi di Padova
1:30 PM
Machine Learning Assisted Complex Survey Weights
Stanislav Kolenikov, Abt Associates
1:35 PM
An Efficient Variance Estimator for Cross-Validation under Partition-Sampling
Xizhen Cai, Williams College
1:40 PM
Methods for Detecting Numeracy’s Effect on Trait-Unrelated Response Styles
Presentation
Zachary Loran, UCLA
1:45 PM
Alternative to ANOVA
Mian Shams Adnan, Bowling Green State University
1:50 PM
Quantifying the Terms from the Bias-Variance Decomposition Using Metalog Distributions
Neil A Hamlett, Uncertainty Research, LLC
1:55 PM
Wald Type Tests With the Wrong Dispersion Matrix
Kosman Watte Gedara Dimuthu Hansana Rajapaksha, Southern Illinois University Carbondale
2:00 PM
The Hierarchy of Block Models
Majid Noroozi, Washington University at St. Louis
2:05 PM
Fitting Structural Equation Models via Variational Approximations
Khue-Dung Dang, University of Technology Sydney
2:10 PM
Automatically Extracting Differential Equations from Data with Sparse Regression Techniques
Presentation
Kevin Egan, Durham University
2:15 PM
Uniform-Laplace Mixture Distributions
Amos Natido, University of Nevada, Reno
2:20 PM
Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models
Matthieu Marbac, CREST / ENSAI
2:25 PM
Normal - Pareto Distributions: Theoretical Framework and Computational Issues
Presentation
Matthew Awere Ohemeng, University of Nevada Reno
2:30 PM
Scalable Gaussian Processes on Physically Constrained Domains
Presentation
Bora Jin, Duke University
2:35 PM
Intrinsic smoothing method based on penalized spherical Bézier curves
Kwan-Young Bak, Korea University
2:40 PM
Strong Orthogonal Arrays and Orthogonal Array-Based Latin Hypercube Designs for Planning Experiments: A Method for Improving Study Design in Biomedical Research
Presentation
Kazeem Adewale Osuolale, Nigerian Institute of Medical Research, Yaba, Lagos
2:45 PM
Multi-scale Affinities with Missing Data: Estimation and Applications
Min Zhang, North Carolina State University
2:50 PM
Alternatives to Chebyshev's Inequality
Mian Shams Adnan, Bowling Green State University
CS26 -
Data-Driven Science
Refereed
Fri, Jun 4, 3:20 PM - 4:55 PM
Chair(s): David Han, The University of Texas at San Antonio
3:25 PM
Spatial-Temporal Change Detection Using Elastic Functional Data Analysis
Avipsa Roy, Arizona State University
3:55 PM
Increasing Integration of Data-Driven Analyses in Operational Activities Through Knowledge Management
Presentation
Thushara Gunda, Sandia National Laboratories
4:25 PM
Detecting and Explaining Changes in Presidential Approval with Interval-Censored Polling Data
Jiahao Tian, University of Virginia
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