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158 Mon, 8/8/2022, 10:30 AM - 11:15 AM CC-Hall D
SPEED: Statistical Methods, Computing, and Applications Part 2 — Contributed Poster Presentations
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics
Chair(s): Rui Xie, University of Central Florida
1: The Role of Berkson Paradox in Significance Testing
Miodrag Lovric, Radford University
2: The Growclusters Package for R
Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
3: Analysis of Accelerometer Data from NHANES Database Using Fr├ęchet Single Index Model
Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
4: Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain
Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
5: Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies
Lynda Aouar, University of Northern Colorado
6: A Comparison of Regression Discontinuity Effect Estimation for Small Samples
Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
7: Reliability for Binary and Ordinal Data in Forensics
Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
8: Approaching Supersaturated Screening as a Pilot Experiment
Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9: Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level
Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
10: W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric
Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
11: Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power
Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
12: Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model
Swami Natarajan, The MITRE Corporation
13: MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables
Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
14: Taking PDE Solutions from Low-Fidelity to High-Fidelity Using Bayesian Dynamic Function on Function Regression
Marie Tuft, Sandia National Laboratories; Daniel Ries, Sandia National Labs
15: Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS
Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
16: A Statistical Framework for Deepfake Detection
Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
17: Multi-Omics Integrative Analysis for Incomplete Data Using Weighted P-Value Adjustment Approaches
Wenda Zhang, University of South Carolina
18: Developing Logistic Regression for the High-Dimensional DNA Methylation Data
Mohamed salem Milad, Arkansas State University
19: A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines
Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
20: Modeling Sparse Data Using MLE with Applications to Microbiome Data
Hani Aldirawi, California State University San Bernardino