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
01:
The Role of Berkson Paradox in Significance Testing
Miodrag Lovric, Radford University
02:
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
03:
Analysis of Accelerometer Data from NHANES Database Using Fréchet 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
04:
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
05:
Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies
Lynda Aouar, University of Northern Colorado
06:
A Comparison of Regression Discontinuity Effect Estimation for Small Samples
Daryl Swartzentruber, The Ohio State University ; Eloise E Kaizar, The Ohio State University
07:
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
08:
Approaching Supersaturated Screening as a Pilot Experiment
Michael McKibben, NCSU ; Jonathan Stallrich, North Carolina State University
09:
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
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
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
