Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

223822	Mon, 8/8/2022, 7:00 AM - 8:15 AM	Offsite
Section on Statistics in Defense and National Security Business Meeting — Other Cmte/Business
Section on Statistics in Defense and National Security
Chair(s): Karl Pazdernik, Pacific Northwest National Laboratory
The Delegate 901 L St NW Washington, DC 20001 202.567.6645 Menu: https://www.thedelegaterestaurant.com/menus/

103	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-101
Uncertainty Quantification for Machine Learning — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistics in Defense and National Security, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Michael Grosskopf, Los Alamos National Laboratory; Natalie Klein, Los Alamos National Laboratory
Chair(s): Natalie Klein, Los Alamos National Laboratory
8:35 AM	Myths and Reality in Bayesian Deep Learning Andrew Gordon Wilson, New York University
8:55 AM	Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations Erin Acquesta, Sandia National Laboratories; Teresa Portone, Sandia National Laboratories; Christopher Rackauckas, Massachusetts Institue of Technology; Raj Dandekar, Massachusetts Institute of Technology
9:15 AM	Generative Modeling Methods in Uncertainty Quantification and Bayesian Inference Youssef Marzouk, Massachusetts Institute of Technology
9:35 AM	Conformal Prediction and Calibration Under Distribution Drift Aaditya Ramdas, Carnegie Mellon University; Aleksandr Podkopaev, Carnegie Mellon University
9:55 AM	Learning Pushforwards for Domain Adaptation Nishant Panda, Los Alamos National Laboratory
10:15 AM	Floor Discussion

107	Mon, 8/8/2022, 8:30 AM - 10:20 PM	CC-140A
SPEED: Statistical Methods, Computing, and Applications Part 1 — Contributed Speed
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, WNAR
Chair(s): Rui Xie, University of Central Florida
8:35 AM	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
8:40 AM	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
8:45 AM	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
8:50 AM	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
8:55 AM	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
9:00 AM	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:05 AM	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
9:10 AM	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9:15 AM	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
9:20 AM	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
9:30 AM	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
9:35 AM	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
9:40 AM	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
9:50 AM	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
9:55 AM	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
10:00 AM	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
10:05 AM	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
10:10 AM	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

10:15 AM	Floor Discussion

140 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-158AB
Disease Outbreak and Modeling Applications in Defense and National Security — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science
Organizer(s): Joseph D Warfield, John Hopkin University Applied Physics Lab
Chair(s): Joseph D Warfield, John Hopkin University Applied Physics Lab
10:35 AM	A Holistic Approach to Comparing Infectious Disease Forecasting Methods Presentation Karl Pazdernik, Pacific Northwest National Laboratory; Samuel Dixon, Pacific Northwest National Laboratory; Ravikiran Keshava Murthy, Pacific Northwest National Laboratory; Brent Daniel, Pacific Northwest National Laboratory; Andrew Stevens, Pacific Northwest National Laboratory; Lauren Charles, Pacific Northwest National Laboratory
10:55 AM	A Statistical Model for the Spread of SARS-CoV-2 in New Mexico Lyndsay Shand, Sandia National Laboratories; Adah Zhang, Sandia National Laboratories; Alexander Foss, Sandia National Laboratories; James Derek Tucker, Sandia National Laboratories; Gabriel Huerta, Sandia National Laboratories; Audrey McCombs, Sandia National Laboratories
11:15 AM	Agent-Based Modeling for Evaluation of a Wearable-Sensor-Based Disease Surveillance Network Ivan Stanish, Johns Hopkins University Applied Physics Laboratory; Joseph D Warfield, John Hopkin University Applied Physics Lab; Jane E. Valentine, Johns Hopkins University Applied Physics Laboratory; Damon C Duquaine, Johns Hopkins University Applied Physics Laboratory; Ariel M. Greenberg, Johns Hopkins University Applied Physics Laboratory; James P. Howard, Johns Hopkins University Applied Physics Laboratory
11:35 AM	Evaluation of the United States COVID-19 Vaccine Allocation Strategy Audrey McCombs, Sandia National Laboratories; Md Rafiul Islam, Iowa State University; Tamer Oraby, University of Texas Rio Grand Valley; Mohammad Mihrab Chowdhury, Texas Tech University; Mohammad Al-Mamun, West Virginia University; Michael Tyshenko, University of Ottowa; Claus Kadelka, Iowa State University
11:55 AM	Discussant: Howard Burkom, Johns Hopkins University Applied Physics Lab
12:15 PM	Floor Discussion

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 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

336	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-142
Statistical Modeling and Machine Learning for National Security Applications — Contributed Papers
Section on Statistics in Defense and National Security, Caucus for Women in Statistics, Text Analysis Interest Group
Chair(s): Daniel Ries, Sandia National Labs
2:05 PM	Advancements in Characterizing Warhead Fragmentation Events John Haman, Inst. for Defense Analyses; Thomas Johnson, Inst. for Defense Analyses
2:20 PM	Anomaly Detection for Controller Area Network Kelly Toppin, ICF / US Army ARL; Frederica Nelson, US Army ARL; Nandi Leslie, Raytheon/ US Army ARL
2:35 PM	Estimation of Score-Based Likelihood Ratios in the Presence of Covariates, with Application to Forensics and Biometric Recognition He Qi, George Mason University; Martin Slawski, George Mason University; Larry Tang, University of Central Florida
2:50 PM	Malicious URL Detection Using Machine Learning for Security Traffic Aritra Guha, Data Science & AI Research, AT&T Chief Data Office; Srivathsan Srinivasagopalan, Data Science & AI Research, AT&T Chief Data Office; Mani Subramaniam, Data Science & AI Research, AT&T Chief Data Office
3:05 PM	Interpretation of Handwriting Evidence Using Error Rates and Score-Based Likelihood Ratios Danica Ommen, Iowa State University; Larry Tang, University of Central Florida
3:20 PM	Using Risk-Adjusted Measurement Models to Understand the Threat of Ransomware in the U.S Divya Ramjee, American University
3:35 PM	Complex-Valued Signal Denoising for Detection of Synthetic Opioids Natalie Klein, Los Alamos National Laboratory; Michael Malone, Los Alamos National Laboratory

223818	Tue, 8/9/2022, 6:00 PM - 8:00 PM	Offsite
Section on Statistics in Defense and National Security Mixer — Other Cmte/Business
Section on Statistics in Defense and National Security
Chair(s): Karl Pazdernik, Pacific Northwest National Laboratory
Farmers and Distillers 600 Massachusetts Ave NW Washington, DC 20001 202.464.3001 Menu: https://farmersanddistillers.com/menu/

403 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-151A
Research Advances at the Interface of Uncertainty Quantification and Machine Learning for High-Consequence Problems — Invited Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, IEEE Computer Society
Organizer(s): Ahmad Rushdi, Stanford University
Chair(s): Erin Acquesta, Sandia National Laboratories
10:35 AM	Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Yu Wang, Notre Dame University; Daniele Schiavazzi, University of Notre Dame; Fang Liu, Univerisity of Notre Dame
10:55 AM	Assessing the Quality of Uncertainty Estimates in Deep Learning Jason Adams, Sandia National Laboratories
11:15 AM	Extreme Learning Machines for Variance-Based Global Sensitivity Analysis John Darges, North Carolina State University; Alen Alexanderian, North Carolina State University; Pierre Gremaud, North Carolina State University
11:35 AM	Efficient Variational Approach to Sparse BNN for Model Compression Diptarka Saha, University of Illinois, Urbana-Champaign; Feng Liang, University of Illinois, Urbana-Champaign ; Zihe Liu, University of Illinois, Urbana-Champaign
11:55 AM	Discussant: Daniel Ries, Sandia National Labs
12:15 AM	Floor Discussion

440	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Section on Statistics in Defense and National Security — Contributed Poster Presentations
Section on Statistics in Defense and National Security
Chair(s): Gyuhyeong Goh, Kansas State University
31:	A Flexible Bayesian Multiclass Classification Model Frank W Marrs, Los Alamos National Lab; Devin Francom, Los Alamos National Lab
32:	Motif-Based Exploratory Analysis of State-Backed Platform Manipulation on Twitter Khuzaima Hameed, North Carolina State University; Rob Johnston, Laboratory for Analytic Sciences, North Carolina State University; Brent Younce, Laboratory for Analytic Sciences, North Carolina State University; Minh Tang, North Carolina State University; Alyson G Wilson, North Carolina State University
33:	Unsupervised Learning in Detection of Autonomous Vehicles Grant Beanblossom, Virginia Tech Applied Research Corporation
34:	HOT-Nets: Higher-Order Topological Neural Networks on Power Distribution System Roshni Anna Jacob, University of Texas at Dallas; Yuzhou Chen, Princeton University; Yulia R. Gel, The University of Texas at Dallas; Jie Zhang, The University of Texas at Dallas; H. Vincent Poor, Princeton University

451	Wed, 8/10/2022, 12:30 PM - 1:50 PM	CC-Ballroom Level South Prefunction
Section on Statistics in Defense and National Security P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Defense and National Security
WL14:	The Role of the Statistics Profession in the Current Wave of Artificial Intelligence Laura Freeman, Virginia Tech

JSM 2022 Conference Program

Activity Details

American Statistical Association