Technical Program | Conference on Applied Statistics in Defense

Monday, October 24

8:30am Registration
9:00am-4:30pm Tutorial, An Introduction to R and Data Visualization, Room 7/8

Tuesday, October 25

8:30am Registration
9:00am-4:30pm Tutorial, An Introduction to R and Data Visualization, Room 7/8

Wednesday, October 26

8:30am Registration
8:45am Welcome and Announcements, Room 7/8
9:00am – 10:00am Kirk Borne, Principal Data Scientist, Booz Allen Hamilton. Statistical and Data Literacy in the Era of Big Data. Room 7/8
10:00am – 10:15am Break
10:15am – 11:55am
- Tutorial: Software Testing, Rick Kuhn, NIST. Room 7/8
- Contributed Session 1. Room 9/10
  1. A. Glen, S. Butler, N. Mankovich. Many Transformations, 400 New Distributions. Colorado College.
  2. K. Ferguson, S. Hunter. Test Design Adequacy for Logistic Regression. Dugway Proving Grounds.
  3. V. Raghavan. Group-wise and Regional Terrorism Trends via Clustering in the Model Space. Qualcomm Flarion Technologies.
  4. C. Lennon, M. Childers, M. Harper, C. Ordonez, N. Gupta, J. Pace, R. Kopinsky, A. Sharma, E. Collins, J. Clark. An Assessment of Energy Efficient Planning. U.S. Army Research Laboratory and Florida A&M University-Florida State University.
11:45am – 1:15pm Lunch (on your own)
1:15pm – 2:15pm Abel Rodriguez, University of California, Santa Cruz. Bayesian Spatial Model Selection for Detection and Identification in Chemical Plumes Based on Hyperspectral Imagery Data. Room 7/8
2:15pm – 2:30pm Break
2:30pm – 4:00pm
- Tutorial: Heather Wojton, Introduction to Survey Research, Institute for Defense Analyses. Room 7/8
- Special Session on Quantitative Methods in Intelligence. Room 9/10
  1. Pat Biltgen, Vencore. Activity-Based Intelligence and Pattern-of-Life Analysis.
  2. I. Kloo, Center for Army Analysis. Data Science for Threat Finance Intelligence.
6:30pm Conference Banquet, Clyde’s at Gallery Place

Thursday, October 27

8:30am Registration
8:45am Welcome and Announcements. Room 7/8
9:00am – 10:00am Susan Sanchez, Naval Postgraduate School. Data Farming: Reaping Insights from Large-Scale Simulation Experiments. Room 7/8
10:00am – 10:15am Break
10:15am – 11:45am
- Tutorial: Adversarial Risk Analysis, David Banks, Duke University. Room 7/8
- Contributed Session 2. Room 9/10
  1. D. Ray, M. Jablonski. Uncertainty Quantification of Armament Engineering Models and Simulations. U.S. Army ARDEC.
  2. S. Brady, P. Ellner, M. Wayne. Leveraging Data Across Operational Test Unit Variants to Assess Reliability. Army Materiel Systems Analysis Activity (AMSAA).
  3. V. Nagaraju, T. Wandji, L. Fiondella. Software Failure and Reliability Assessment Tool (SFRAT): An Open Source Application for the Practitioner and Research Community. University of Massachusetts, Dartmouth and Naval Air Systems Command, Patuxent River.
11:45am – 1:15pm Lunch (on your own)
1:15pm – 2:15pm Joseph A. Marr, Bartley D. Richardson, David B. Krisiloff, Benjamin J. Radford, Christopher M. Morris, Cyberlanguage: Enhancing Cybersecurity through Statistical and Natural Language Processing Techniques. DZYNE Technologies (Marr), Sotera Defense Solutions. Room 7/8
2:15pm – 2:30pm Break
2:30pm – 4:00pm
- Tutorial: Resampling Methods (zip file linked), Dave Ruth, US Naval Academy. Room 7/8
- Special Session on Computer Experiments. Room 9/10
  1. T. Hurst, I. Goodrich, C. Leigh, C. Pouchet, M. Tolman, M. Wynn, J. Zink. The DASE Axioms: Designing Simulation Experiments for Verifying Performance of Software-Intensive Systems. Raytheon Missile Systems.
  2. Peter Qian. Design for Large-scale Statistical Computation and Distributed Computer Experiments. University of Wisconsin-Madison.
4:00pm – 5:15pm
- Contributed Session 3: Sensitivity Testing and DOE for Binary Response. Room 7/8
  1. D. Ray, C. Drake, P. Roediger. DoD Applications of Sensitivity Testing and DOE for Binary Response. U.S. Army ARDEC, UTRS, Inc.
  2. C. F. Jeff. Wu. A new sensitivity testing procedure when there are two stress variables. Georgia Tech.
- Contributed Session 4. Room 9/10
  1. Y. Gel, V. Lyubchich, L. Ramirez Ramirez. Fast Patchwork Bootstrap for Quantifying Estimation Uncertainties in Sparse Random Network. University of Texas at Dallas, University of Maryland Center for Environmental Sciences.
  2. K. Hernandez and J. Spall. Cyclic Stochastic Approximation for Multiagent Stochastic Optimization. Johns Hopkins University and JHU Applied Physics Laboratory.

Friday, October 28

8:45am Welcome and Announcements. Room 7/8
9:00am – 10:00am Eric Kolaczyk, Boston University. Estimating Network Degree Distributions from Sampled Networks: An Inverse Problem. Room 7/8
10:00am – 10:15am Break
10:15am – 11:45am Tutorial: Bayesian Analysis, Kassie Fronczyk, Institute for Defense Analyses. Room 7/8
11:45am Conference Closing Remarks. Room 7/8