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Legend:
CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details


45 !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-709
Emerging Methods for Network Testing and Related Problems — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Statistics in Defense and National Security
Organizer(s): Eric Kolaczyk, Boston University
Chair(s): Elizabeth Upton, Boston University
4:05 PM Goodness-of-Fit Tests for 3 Variants of the Stochastic Block Model
Presentation
Vishesh Karwa, Temple University; Debdeep Pati, Texas A&M University; Sonja Petrovic, Illinois Institute of Technology; Liam Solus, KTH, Sweden; Mateja Raic, University of Illinois at Chicago; Dane Wilburne, ICERM, Brown University; Nikita Alexeev, unknown; Robert Williams, Texas A&M University; Bowei Yan, University of Texas
4:30 PM A Broad Perspective on Network Testing
Sofia C Olhede, University College London; Patrick J Wolfe, Purdue University
4:55 PM Signal Detection in Spiked Random Matrix and Network Models
Zongming Ma, University of Pennsylvania; Debapratim Banerjee, University of Pennsylvania
5:20 PM Discussant: Daniel L Sussman, Boston University
5:40 PM Floor Discussion
 
 

62 * !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-702
Data Fusion: An Exploration of Practical Aspects — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Section on Statistics in Defense and National Security
Organizer(s): Emily Casleton, Los Alamos National Laboratory
Chair(s): Kimberly Kaufeld, Los Alamos National Laboratory
4:05 PM Bayesian Analysis of Multivariate One-Way ANOVA Model
Zhuoqiong He
4:25 PM Data Fusion with Transition-Constrained Diarization
Goran Konjevod, Lawrence Livermore National Laboratory; Jason Lenderman, LLNL
4:45 PM Computational and Interpretational Considerations for Multivariate Analytics in Nuclear Nonproliferation Multisensor Arrays
Presentation
Marylesa Howard, Nevada National Security Site; Aaron Luttman, Nevada National Security Site; Bethany Goldblum, University of California Berkeley; Christopher Stewart, University of California Berkeley; Zoe Gastelum, Sandia National Laboratories; Boian Alexandrov, Los Alamos National Laboratory; Margaret Hoeller, Nevada National Security Site; Daniel J. Champion, Nevada National Security Site
5:05 PM Data Fusion and Feature Selection to Inform the State of a Nuclear Reactor
Presentation
Nidhi Parikh, Los Alamos National Laboratory; Garrison Flynn, Los Alamos National Laboratory; Adin Egid, Los Alamos National Laboratory; Emily Casleton, Los Alamos National Laboratory
5:25 PM Integrated Statistical Learning and Feature Selection for Improved Biomarker Discovery
Presentation
Lisa Bramer, Pacific Northwest National Laboratory; Bobbie-Jo Webb-Robertson, Pacific Northwest National Laboratory; Sarah Reehl, Pacific Northwest National Laboratory
5:45 PM Floor Discussion
 
 

70 *
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-703
Science of Test and Advancements in Reliability Modeling — Topic Contributed Panel
Section on Statistics in Defense and National Security, Government Statistics Section, Committee on Applied Statisticians
Organizer(s): Raymond Hill, Air Force Instittute of Technology
Chair(s): Laura Freeman
4:05 PM Science of Test and Advancements in Statistics and Reliability Modeling
Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5
Panelists: Raymond Hill, Air Force Instittute of Technology
Douglas Montgomery, ASU
G. Geoff Vining, Va Tech
Eric Chicken, Florida State University
Susan Sanchez, Naval Postgraduate School
5:40 PM Floor Discussion
 
 

219212
Mon, 7/29/2019, 7:00 AM - 8:30 AM Off Site
Section on Statistics in Defense and National Security Leadership Business Meeting — Other Cmte/Business
Section on Statistics in Defense and National Security
Chair(s): Jane Pinelis, Johns Hopkins Applied Physics Laboratory
 
 

Register 95
Mon, 7/29/2019, 7:00 AM - 8:15 AM H-Centennial Ballroom G-H
Section on Statistics in Defense and National Security A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics in Defense and National Security
Organizer(s): Karl Pazdernik, Pacific Northwest National Lab
ML06: Benefits and Challenges of Statistics/Data Science Careers for Women at National Laboratories
Lisa Bramer, Pacific Northwest National Laboratory
 
 

149 * !
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-702
Government Cybersecurity Research: Statistical Challenges and Opportunities — Invited Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, Government Statistics Section
Organizer(s): Justin Newcomer, Sandia National Laboratories
Chair(s): Lyndsay Shand, Sandia National Laboratories
10:35 AM A Broad Overview of AI/ML and Cybersecurity
Presentation 1 Presentation 2 Presentation 3
Adam Cardinal-Stakenas, National Security Agency
11:00 AM Latent Feature Models for Network Link Prediction with Labelled Nodes
Presentation
Melissa Turcotte, Los Alamos National Laboratory
11:25 AM Analyzing Cyber Networks Using Spectral Embedding and a Kernel-Based Procrustes Algorithm
Presentation
David Marchette, NSWCDD
11:50 AM Dynamic Model Updating for Streaming Classification and Clustering
Alexander Foss, Sandia National Laboratories
12:15 PM Floor Discussion
 
 

214 * !
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-203
Combinatorial Testing: Using Covering Arrays to Maximize the Impact of Testing — Invited Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistics in Defense and National Security
Organizer(s): Michael Crotty, SAS
Chair(s): Michael Crotty, SAS
2:05 PM Factorial Experiments, Covering Arrays, and Combinatorial Testing
Raghu Kacker, National Institute of Standards and Technology; Rick Kuhn, National Institute of Standards and Technology; Yu Lei, University of Texas at Arlington; Dimitris Simos, SBA-Research, Austria
2:30 PM The Construction of ?-Bad Covering Arrays
Presentation
Dennis Lin, The Pennsylvania State University; Kevin Quinlan, The Pennsylvania State University
2:55 PM Analysis and Evaluation of Covering Arrays Using Prior Information
Ryan Lekivetz, JMP Division of SAS; Joseph Morgan, JMP Division of SAS
3:20 PM Visualizing Covering Arrays Using Design Fractals
Presentation
Caleb King, JMP Division of SAS; Joseph Morgan, JMP Division of SAS; Ryan Lekivetz, JMP Division of SAS
3:45 PM Floor Discussion
 
 

219214
Mon, 7/29/2019, 5:30 PM - 7:30 PM Off Site
Section on Statistics in Defense and National Security Mixer — Other Cmte/Business
Section on Statistics in Defense and National Security
Chair(s): Jane Pinelis, Johns Hopkins Applied Physics Laboratory
 
 

320 * !
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-703
Statistical Approaches for Modeling Social Unrests — Invited Papers
Section on Statistics in Defense and National Security, Social Statistics Section, Business and Economic Statistics Section
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Michael Baron, American University
10:35 AM Predicting Anti-Government Violence in Mexico with Big Data on Citizen-Government Interactions
Presentation
Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota; Ujjal Kumar Mukherjee, University of Illinois
11:00 AM Forecasting Political Instability Using Heterogeneous Data Streams
Presentation
Chrysm Watson Ross, Los Alamos National Laboratory ; Ashlynn Daughton, Los Alamos National Laboratory; Geoffrey Fairchild, Los Alamos National Laboratory ; Sara Del Valle, Los Alamos National Laboratory
11:25 AM Model Fusion with Spatial Partitioning for Forecasting Civil Unrest
Presentation
Andrew Hoegh, Montana State University
11:50 AM Predicting the Supply Chain Impact of National Level Conflicts: a Recursive Neural Network Based Approach
Presentation
Ujjal Kumar Mukherjee, University of Illinois; Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota
12:15 PM Floor Discussion
 
 

340
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-501
SPEED: Bayesian Methods, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, Section on Statistics in Defense and National Security
Chair(s): Chris Gotwalt, SAS Institute Inc.
Poster Presentations for this session.
10:35 AM Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
10:40 AM Spatial Cox Model with Applications on Multiple Sclerosis Patients
HSIUCHING CHANG, IQVIA; Hyokoung Grace Hong, Michigan State Universtiy; Yu Yue, The City University of New York
10:45 AM Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
10:50 AM A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
10:55 AM A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Presentation
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
11:00 AM Nonparametric Density Estimation and Regression Using Coarse Count Data
Presentation 1 Presentation 2 Presentation 3
Jacob Coleman
11:05 AM Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
11:10 AM An Investigation into How Model Uncertainty Is Reflected Through the Posterior Variance for Partial Regression Coefficients
Presentation
Katharine Banner, Montana State University; Megan Higgs, Montana State University
11:15 AM An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati; Emrah Gecili, Cincinnati Children's Hospital Medical Center
11:20 AM Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
11:30 AM The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
11:35 AM Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Presentation 1 Presentation 2
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
11:40 AM Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
11:45 AM Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Presentation
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
11:50 AM Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Presentation
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
11:55 AM Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
12:00 PM A Distributed MCMC Sampler for Latent Dirichlet Allocation
Presentation
Kelson Zawack, Yale University; Hongyu Zhao, Yale
12:05 PM High-Dimensional Posterior Consistency in Mixed Frequency Bayesian Vector Autoregressive Models
Nilanjana Chakraborty, University of Florida; George Michailidis, University of Florida; Kshitij Khare, University of Florida
12:10 PM A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Presentation
Adam Combs, Robert Morris University
12:15 PM Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys
Presentation
Mark Meyer, Georgetown University; Jeffrey S. Morris, M.D. Anderson Cancer Center; Regina Paxton Gazes, Bucknell University; Robert R. Hampton, Emory University and Yerkes National Primate Research Center; Brent A. Coull, Harvard T. H. Chan School of Public Health
 
 

525
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-Hall C
Contributed Poster Presentations: Section on Statistics in Defense and National Security — Contributed Poster Presentations
Section on Statistics in Defense and National Security
Chair(s): Wendy Meiring, University of California At Santa Barbara
51: Neural Shrubs
Kyle Caudle, South Dakota School of Mines and Technology; Randy A Hoover, South Dakota School of Mines and Technology
52: On Generalizing the Foldover Technique to 3-Level Regular Fractional Factorial Designs
R. Vincent Paris, Iowa State University; Max Morris, Iowa State Univesity
 
 

561 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-105
Small Data, Big Impact — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistics and the Environment, Section on Physical and Engineering Sciences
Organizer(s): Lyndsay Shand, Sandia National Laboratories
Chair(s): Alexander Foss, Sandia National Laboratories
2:05 PM Combining Information to Assess the Reliability of Complex Systems
Presentation
Alyson Wilson, North Carolina State University
2:25 PM Big Datum: Modeling the Universe and Other Smaller Things
Earl Christopher Lawrence, Los Alamos National Laboratory
2:45 PM Sea Ice Computer Model Calibration Using Space Filling Curves
Presentation
Derek Tucker, Sandia National Laboratories; Joel Upston, University of New Mexico; Deborah Sulsky, University of New Mexico
3:05 PM Gradient Boosting Trees for Spatial Data Prediction
Presentation
Bo Li, University of Illinois at Urbana-Champaign; Peng Wang, University of Cincinnati; Yunzhang Zhu, The Ohio State University
3:25 PM Spatial Statistics for the Computational Simulation of Complex Material Microstructures
Presentation
Lyndsay Shand, Sandia National Laboratories; Dan Bolintineanu, Sandia National Laboratories
3:45 PM Floor Discussion
 
 

619
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-105
Topics in Defense and National Security — Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group
Chair(s): Jade Freeman, US Army Research Laboratory
8:35 AM Detection of Potential Pitting and Potential Crack Corrosion Events in Laser Confocal Microscope Images of Nuclear Material Container Walls
Presentation
James Wendelberger, Los Alamos National Laboratory and University of New Mexico
8:50 AM A New Military Retention Prediction Model: Machine Learning for High-Fidelity Prediction
Presentation
Michael Guggisberg, Institute for Defense Analyses; Julie Pechacek, Institute for Defense Analyses; Alan Gelder, Institute for Defense Analyses; James Bishop, Institute for Defense Analyses; Cullen Roberts, Institute for Defense Analyses; Joseph King, Institute for Defense Analyses; Yevgeniy Kirpichevsky, Institute for Defense Analyses
9:05 AM Detecting Illicit Fishing Activity by Combining Open Source Data
Karl Pazdernik, Pacific Northwest National Lab; Shari Matzner, Pacific Northwest National Laboratory; Lauren Charles, Pacific Northwest National Laboratory; Theodore Nowak, Pacific Northwest National Laboratory
9:20 AM Utilizing Distributional Measurements of Material Characteristics from SEM Images for Inverse Prediction
Daniel Ries, Sandia National Laboratories; John Lewis, Sandia National Laboratories; Adah Zhang, Sandia National Laboratories; Christine M Anderson-Cook, Los Alamos National Laboratory; Marianne Wilkerson, Los Alamos National Laboratory; Gregory L Wagner, Los Alamos National Laboratory; Julie Gravelle, Los Alamos National Laboratory; Jacquelyn Dorhout, Los Alamos National Laboratory
9:35 AM What Do Network Motifs Tell Us About Robustness and Reliability of Complex Networks?
Presentation
Asim Dey, University of Texas at Dallas; Yulia Gel, University of Texas at Dallas; H. Vincent Poor, Princeton University
9:50 AM Time to Nuclear Armageddon
Presentation
Spencer Graves, EffectiveDefense.org
10:05 AM Floor Discussion