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Contributed Papers

Computational Simulations & Applied Data Science

Tue, Aug 4, 10:30 AM - 12:20 PM Room CC-203 Thomas M. Menino Convention & Exhibition Center

Dengyi LiuChair

Section on Statistical Computing

7 Presentations

A Subsampling Technique in Multi-level Latent Class Analysis for Multivariate Longitudinal Data: Estimation and Challenges

10:35 AM - 10:50 AM

Jung Wun Lee (Boston University)

Finite mixture model Multivariate categorical data Longitudinal data Missing data problem Expectation-Maximization algorithm High-dimensional data

Building City Digital Twins from the Ground Up: A Collaborative Statistical and Programming Approach

10:50 AM - 11:05 AM

Nancy Glenn Griesinger (Huston-Tillotson University)

Digital Twin Statistical Methodology Programming Machine Learning R Python

Generalized Sequential Monte Carlo Sampling for Redistricting Simulation

11:05 AM - 11:20 AM

Philip O'Sullivan (Harvard)

Co-authors: Kosuke Imai (Harvard University), Cory McCartan (Penn State University)

Redistricting simulations Gerrymandering Sequential Monte Carlo MCMC Graph Partition Elections

MI-RNG: A Flexible Multiple Imputation Framework for Multivariate Mixed Data

11:20 AM - 11:35 AM

Chak Kwong (Tommy) Cheng (University of Illinois At Chicago)

Co-authors: Hakan Demirtas (University of Illinois-Chicago)

Multiple Imputation Random Number Generation Mixed Data

Model-Based Clustering of Music Pieces

11:35 AM - 11:50 AM

Yingying Zhang (Western Michigan University)

Co-authors: Xuwen Zhu (The University of Alabama), Hung Tong (Rowan University), Volodymyr Melnykov (University of Alabama)

Model-based clustering Cluster-weighted model Gamma distribution First-order multivariate Markov model multivariate categorical sequence EM algorithm

On Certain Discrete Renewal Processes: Applications in Modeling Elected Positions

11:50 AM - 12:05 PM

Ahmad Reza Soltani (Kuwait University, College of Science, Department of Statistics and Operations Research)

Discrete Renewal Processes Geometric Process;Data Modelling;US Presidential Position Renewals The kth Visit in Markov Chains;Simulation and Renewal Function.

Operator Splitting with Hamilton-Jacobi-based Proximals

12:05 PM - 12:20 PM

Nicholas Di (Rice University)

Co-authors: Eric Chi (University of Minnesota, Twin Cities), Samy Wu Fung (Colorado School of Mines)

Proximal Operator Splitting Derivative-Free Optimization Monte Carlo Hamilton-Jacobi

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