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* = applied session       ! = JSM meeting theme

Activity Details


27
Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
SDNS Speed Session — Contributed Speed
Section on Statistics in Defense and National Security
Chair(s): James M. Murphy, Tufts University
1:35 PM Topological Adversarial Learning on Graphs
Yuzhou Chen, Southern Methodist University; Yulia R. Gel, UNIVERSITY OF TEXAS AT DALLAS; Baris Coskunuzer, University of Texas at Dallas
1:40 PM Statistics in Network Security
Ganesh K Subramaniam, AT&T; Srivathsan Srinivasagopalan, AT&T; Robert Archibald, AT&T
1:45 PM Adversarial Forecasting for Command and Control Decisions
Tahir Ekin, Texas State University; William N. Caballero, Air Force Institute of Technology; David Rios Insua, ICMAT-CSIC
1:50 PM Increasing the Transparency of Black-Box Systems
Cami Fuglsby, South Dakota State University; Christopher Saunders, South Dakota State University; Danica M Ommen, Iowa State University; JoAnn Buscaglia, FBI Laboratory; Michael Caligiuri, University of California San Diego
1:55 PM Identification and Quantification of Potential Crack Features on Hazardous Material Container Surfaces Using Wide Angle Measurement Intensity Data
James G. Wendelberger, Los Alamos National Laboratory
2:00 PM Nuclear Material Inference as an Inverse Problem Presentation
Emily Casleton, Los Alamos National Laboratory; Paul Mendoza, Los Alamos National Laboratory; Dave Osthus, Los Alamos National Laboratory; Dan Archer, Oak Ridge National Laboratory ; James Ghawaly, Oak Ridge National Laboratory ; Irakli Garishvili, Oak Ridge National Laboratory ; Andrew Rowe, Cadre5; Ian Stewart, University of Tennessee; Michael Willis, Oak Ridge National Laboratory
2:05 PM Functional Estimation and Change Detection for Nonstationary Time Series
Fabian Mies, RWTH Aachen University
2:10 PM Sociodemography of Social Media Users in Mexico According to the National Survey on Availability and Use of Information Technologies in Households (ENDUTIH)
Victor Alfredo Bustos, INEGI
2:15 PM C'est La VIE: Variational Inference of Extremal for Rare Event Modeling
Chen Qian, Virginia Tech; Feng Guo, Virginia Tech
2:20 PM WITHDRAWN: The Characteristics of US Army Soldiers from 2000-2019
Nathaniel J. Ratcliff, University of Virginia, Biocomplexity Institute ; Stephanie S. Shipp, University of Virginia, Biocomplexity Institute ; Joel Thurston, University of Virginia, Biocomplexity Institute ; Kathryn Linehan, University of Virginia, Biocomplexity Institute ; Alyssa Mikytuck, Biocomplexity Institute, University of Virginia; Eric Oh, Biocomplexity Institute, University of Virginia; Aritra Halder, University of Virginia, Biocomplexity Institute ; Joshua Randall Goldstein, Biocomplexity Institute, University of Virginia; Vicki Lancaster, Biocomplexity Institute, University of Virginia; Aaron D. Schroeder, University of Virginia, Biocomplexity Institute ; Sallie Keller, Biocomplexity Institute, University of Virginia
2:30 PM Spatiotemporal Modeling of Career Pathways
Aritra Halder, University of Virginia, Biocomplexity Institute ; Joshua Randall Goldstein, Biocomplexity Institute, University of Virginia; Joanna Schroeder, University of Virginia, Biocomplexity Institute and Initiative; Sallie Keller, Biocomplexity Institute, University of Virginia
2:35 PM Exploring Veteran Career Pathways in Virginia, Maryland, and DC Using Sequence Analysis
Joanna Schroeder, University of Virginia, Biocomplexity Institute and Initiative; Joshua Randall Goldstein, Biocomplexity Institute, University of Virginia; Sallie Keller, Biocomplexity Institute, University of Virginia
2:40 PM United States Army Installation Clustering
Dusty Turner, Center for Army Analysis; Ron Kollhof, Center for Army Analysis
2:45 PM Models for Analysis of Coincidences Presentation
Thomas Reed Willemain, Smart Software, Inc.
2:50 PM Safety Signal Detection of Aircraft Fleets Using 1999-2019 NTSB Aviation Accident Database
Tingting Hu, Embry–Riddle Aeronautical University
2:55 PM Sex Ratio of Mortality Rate Estimation Using a Bayesian Modeling Approach Presentation
Fengqing Chao, King Abdullah University of Science and Technology; Bruno Masquelier, Universite catholique de Louvain; Haavard Rue, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Leontine Alkema, University of Massachusetts, Amherst
3:00 PM Floor Discussion
 
 

Register 102
Mon, 8/9/2021, 12:00 PM - 1:20 PM Virtual
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
ML13: Opportunities and Challenges for Openly Publishing Statistics Research for National Defense Applications
James Tucker, Sandia National Laboratories
 
 

124 *
Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Algorithms for Threat Detection — Topic-Contributed Papers
Section on Statistics in Defense and National Security, Stats. Partnerships Among Academe Indust. & Govt. Committee, Government Statistics Section
Organizer(s): Abel Rodriguez, University of Washington
Chair(s): Abel Rodriguez, University of Washington
1:35 PM Sequential Change-Point Detection for Hawkes Processes Over Networks
Yao Xie, Georgia Institute of Technology; Haoyun Wang, Georgia Institute of Technology; Liyan Xie, Georgia Institute of Technology; Simon Mak, Duke University; Alex Cuozzo , Duke University
1:55 PM Matérn Gaussian Fields on Graphs: Theory and Applications
Daniel Sanz-Alonso, University of Chicago; Ruiyi Yang, University of Chicago
2:15 PM Data-Dependent Distances for Hyperspectral Images
James M. Murphy, Tufts University
2:35 PM CHIP: A Hawkes Process Model for Continuous-Time Networks of Relational Events
Subhadeep Paul, The Ohio State University; Kevin Xu, University of Toledo; Makan Arastuie, University of Toledo
2:55 PM Topological Anomaly Detection on Complex Networks
Dorcas Ofori-Boateng, Portland State University; Ignacio Segovia Dominguez, UNIVERSITY OF TEXAS AT DALLAS; Yulia R. Gel, UNIVERSITY OF TEXAS AT DALLAS; Murat R. Kantargioclu, UNIVERSITY OF TEXAS AT DALLAS; Cuneyt G Akcora, University of Manitoba
3:15 PM Floor Discussion
 
 

379 * !
Thu, 8/12/2021, 12:00 PM - 1:50 PM Virtual
Bias and Interpretability in Biometrics for Forensic Science — Topic-Contributed Papers
Section on Statistics in Defense and National Security, Advisory Committee on Forensic Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Christopher Saunders, South Dakota State University
Chair(s): Cami Fuglsby, South Dakota State University
12:05 PM Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons
Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
12:25 PM Covariate-Adjusted ROC Curves: An Introduction and Application to Characterizing Hidden Behavior in Biometric Matching System
Larry Tang, University of Central Florida; Martin Slawski, George Mason University; Xiaochen Zhu, George Mason University
12:45 PM Generalized Fiducial Factor: An Alternative to the Bayes Factor for Forensic Identification of Source Problems
Jonathan P Williams, North Carolina State University; Danica M Ommen, Iowa State University; Jan Hannig, University of North Carolina at Chapel Hill
1:05 PM Machine Testimony
Andrea Roth, UC Berkeley School of Law
1:25 PM Discussant: Mike Smith, FBI Laboratory Division
1:35 PM Discussant: Christopher Saunders, South Dakota State University
1:45 PM Floor Discussion