Program in Brief
The preliminary program appears below. We welcome technical papers discussing
methods or applications with a potential tie to defense and security
issues. More details on the conference will be available. Check the web
site http://www.arl.army.mil/main/acas/default.htm for updates.
- Welcome:
Dr. James Gantt, Dir(A), Computational & Information Sciences Directorate,
U.S.Army Research Laboratory
- Short Course:
A short course on "Quantitative Graphics
and Visual Analytics for Communication and Discovery," offered
by Dan Carr, George Mason University will precede the conference on 18-19
October. The tutorial will start at 8:30 AM.
- Invited Speakers:
- Ron Brookmeyer, Johns Hopkins University (Keynote Address)
Models for Anthrax: Antibiotics and Vaccines
- Douglas M. Bates, University of Wisconsin, Madison
MAJ Paul Bliese, Walter Reed Army Institute of Research
Mixed-Effects Models for Organizational Data
- David Banks, Duke University
Data Mining in Homeland Defense
- Bill Szewczyk, National Security Administration
The Challenges of Streaming Data
- Mark Vangel, Massachusetts General Hospital
Consensus Inference in Multi-Subject fMRI: An Old Problem Meets a New
Technology
- Russell Lenth, University of Iowa
Techniques for Sample Size
- Banquet Speaker:
- John W. Loonsk, M.D., Associate Director for Informatics, CDC
- Special Sessions:
- Statistical Text Processing
Organizers: Carey Priebe, Johns Hopkins University and Ed Wegman, George
Mason University
- Jeffrey L. Solka and Avory C. Bryant, Naval Surface Warfare Center
Edward J. Wegman, George Mason University
Recursive Bipartite Spectral Clustering for Document Categorization
- Carey Priebe, Johns Hopkins University
Iterative Denoising for Cross-Corpus Discovery
- Damianos Karakos, Johns Hopkins University
Iterative maximization of Mutual Information in Integrated Sensing and
Processing Decision Trees for Unsupervised Classification
- Recent Advances in Engineering Statistics
Organizer: Jeff Wu, Georgia Tech
- Paul Kvam, Georgia Tech
Estimating Load-Sharing Properties in a Dynamic Reliability Model
- Roshan Joseph, Georgia Tech
Adaptive Designs for Stochastic Root-Finding
- C.F. Jeff Wu, Georgia Tech
Building Surrogate Models Based on Detailed and Approximate Simulations
- The Volume-of-Tube Formula, Perturbation, Mixture Models and Applications
Organizers: Ramani S. Pilla, Catherine Loader, Case Western Reserve University
- Jonathan Taylor, Stanford University
Applications of the Volume of Tubes Formula in Functional NeuroImaging
- Ramani S. Pilla and Catherine Loader, Case Western Reserve University
The Volume-of-Tube Formula: Applications to Perturbation and Mixture
Models
- Cyrus Taylor, Case Western Reserve University
Perturbation Theory and Mixture Models: Application to Particle Physics
- Contributed Papers Confirmed to Date
- Extrapolating Testing for Biological Warfare Agents from the Laboratory
to a Field Environment
Charlie E. Holman, Army Evaluation Center
Carl T. Russell, CTR Analytics
Chuck Jennings, EAI Corporation
- System Engineering Approach and Metrics for Evaluating Digitization
for the U.S. Army Battle Command
Jock O. Grynovicki and Jean Breitenbach, U.S. Army Research Laboratory
- Detecting Bio-Terrorist Attacks by Monitoring Non-Traditional Data
Streams Using Wavelets
Galit Shmueli and Bernard L. Dillard,* University of Maryland, College
Park
- A Noninformative Prior Bayesian Approach to Reliability Growth Projection
Paul M. Ellner, J Brian Hall, U.S. Army Materiel Systems Analysis Activity
- A Monte Carlo Simulation of the Kriging Model
Jay D. Martin, Applied Research Laboratory, State College
Timothy W. Simpson, The Pennsylvania State University, University Park
- Some Things Economists Know That Just Aren't So
James R. Thompson, Rice University
- Interval Estimates for Probabilities of Penetration Using a Generalized
Pivotal Quantity
David W. Webb, U.S. Army Research Laboratory
- Establishing the Center for Data Analysis and Statistics (CDAS)
at the United States Military Academy
LTC Rodney X. Sturdivant, United StatesMilitary Academy, West Point, NY
- Residual Based Goodness-of-fit Statistics for Logistic Hierarchical
Regression Models
LTC Rodney X. Sturdivant, United States Military Academy, West Point, NY
- A Bayesian Framework for Statistical, Multi-Modal Sensor Fusion
Michael J. Smith, United States Military Academy, West Point
Anuj Srivastava, Florida State University
- Determining A Minimal Alternatives Replication Set For Constructive
Combat Simulation
Paul J. Deason, U.S. Army TRADOC Analysis Center White Sands Missile
Range, NM
- Reducing Simulation Runs for Future Combat System Key Performance
Parameter Analysis
LTC Thomas M. Cioppa, U.S. Army Training and Doctrine Command Analysis
Center
- Distributions of the Frequency of Waiting k Years for the Next Record
Jayaram Sethuraman, Florida State University
- An Evaluation of Advanced Aluminum Alloys for Armor and Structural
Applications
John Chinella, U.S. Army Research Laboratory
- Research Directions in Adaptive Mixtures and Model-Based Clustering
Wendy L. Martinez, Office of Naval Research
Jeffrey L. Solka, Naval Surface Warfare Center
- Modeling a Binary Response Variable Using L2E
David Kim, Manhatten College
- Parametric Estimators for False Discovery Rates
Harry L. Hurd, Harry L. Hurd Assoc and Adjunct Professor, UNC Chapel Hill
- Getting the Most Bang for the Buck: Optimal System Design Under
Reliability and Economic Constraints
Francisco J. Samaniego, University of California, Davis
- STATISTICS COUNTS! - Examples of the Impact of Statistical Analyses
on the Operational Test and Evaluation of Major Defense Systems
Arthur Fries, Institute for Defense Analyses
- Forensic Analysis: Statistical Comparison of Bullet Lead Compositions
Karen Kafadar, University of Colorado, Denver
- Recurrent Event Modeling Using Survival Analysis Techniques, with
Application to Hospitalizations of Army Recruits
Yuanzhang Li and Timothy Powers, Walter Reed Army Institute of Research
- Visual Analytics for Streaming Internet Traffic
Edward J. Wegman, George Mason University
Karen Kafadar, University of Colorado, Denver
- A Sequential Stopping Rule for Determining the Number of Replications
Necessary when Several Measures of Effectiveness are of Interest
Anthony J. Quinzi, TRADOC Analysis Center - WSMR
- Fallacies and Myths in Elementary Statistics
Bernard Harris, University of Wisconsin, Madison
- Events:
- Social: Tuesday, October 19, 6:30PM - 8:00PM, GA Tech Conference Center
- Wilks Award Banquet: Wednesday, October 20, 6:30PM Social, 7:30PM Dinner,
GA Tech Conference Center
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