Technical Talks from INTERFACE 2008
Presentation slides are posted here with the author's permission.
Enhancing Knowledge and Assessing Risk through Analysis of Massive Data
Organizer: Karen Kafadar Chair: Ginger Davis
Ginger Davis, University of Virginia, Statistical Methods for Detecting Computer Attacks from Streaming Internet Data
(joint work with David Marchette and Karen Kafadar)
Michael W. Trosset, Indiana University, What Kind of Knowledge Does Locally Linear Embedding Extract?
Streaming Data Analysis
Organizer and Chair: Edward Wegman
Contributed Paper Session 1
Zhiliang Ma, Johns Hopkins University, Combining Dissimilarity Representations in Embedding Product Space
Adam Cardinal-Stakenas, Johns Hopkins University, Comparing Dissimilarity Representations of Disparate Information
Al Ozonoff and Joel Bernanke, Boston University School of Public Health, Network Mapping of Large Data Sets
Probabilistic Models in Risk Assessment
Organizer and Chair: David Banks
David Banks, Duke University, Adversarial Risk Analysis
Alyson Wilson, Los Alamos National Laboratory, Bayesian Reliability Analysis
Air Pollution Risk Assessment: from Research to Regulation
Organizer and Chair: Amy Nail
Allen S. Lefohn, ASL & Associates, Realistic Biological and Exposure/Dose Relationships: How They Modify Perceived Human Health & Ecological Risk
Roger Peng, Johns Hopkins University, Statistical Methods for Assessing the Health Risks of Particulate Matter Components
Yongku Kim, SAMSI, How Changing the Ozone Standard Might Affect Respiratory Mortality
New Developments in Machine Learning and Statistical Modeling for Massive Data
Organizer and Chair: Helen Zhang
Jerry Zhu, University of Wisconsin, Online Semi-Supervised Learning
(co-authors: Andrew B. Goldberg and Ming Li)
Contributed Paper Session 2
Roy E. Welsch, Massachusetts Institute of Technology, Robust Risk: Using Robust Methods to Improve Investment Performance
Mutivariate Extremes
Organizer and Chair: Richard Smith
Richard L. Smith, UNC-Chapel Hill, Multivariate Extremes and Risk
Janet Heffernan, Lancaster University, A Conditional Approach to Modeling Multivariate Extremes
Dan Cooley, Colorado State University, Prediction for Max-stable Processes via an Approximated Conditional Density
(co-authors: Richard A. Davis and Philippe Naveau)
Model-based Risk Assessment in Life Science
Organizer and Chair: Lutz Edler
Lutz Edler and Annette Kopp-Schneider, German Cancer Research Center, Data Gaps and Needs in Model-based Risk Assessment
Recent Developments in Machine Learning and Classification - to appear in the Journal of Computational and Graphical Statistics
Organizer: David van Dyk
Chair: Michael Trosset
Tong Tong Wu, University of Maryland, An MM Algorithm for Multicategory Vertex Discriminant Analysis
Han-Ming (Hank) Wu, Tamkang University, Kernel Sliced Inverse Regression with Applications to Classification
Contributed Paper Session 3
Mariana Toma-Drane, University of South Carolina, Post-Chernobyl Psychological Effects on Individuals in Belarus
(co-authors: A.E. Frongillo, K. Moysich, J. Vena, W. Karmaus, D. Friedman, A. Michalek, F. Karen, J. Baker, G. Beehler, M. Zevon)
Amy Nail, N.C. State University, Quantifying Local Creation and Regional Transport Using a Hierarchical Space-time Model of Ozone as a Function of NOx, a Latent Space-time VOC Process, Emissions, and Meteorology
(co-authors: Jacqueline M. Hughes-Oliver and John F. Monahan)
Statistical and Computational Issues in Analyzing Sensor Networks
Organizer and Chair: Alan Gelfand
Carol Y. Lin, CDC, Statistical Issues in Designing an Optimal Detection System with Multiple Heterogeneous Sensors
(co-authors: Lance A. Waller, Robert H. Lyles, P. Barry Ryan)
Soumendra Lahiri, Texas A&M University, Analysis of Microsensor Networks from a Statistical Perspective
(contact author for slides: snlahiri at stat.tamu.edu)
Text Data Analysis
Organizer and Chair: Jeffrey Solka
Kendall Giles, Virginia Commonwealth University, Interactive Text Mining with Iterative Denoising
Contributed Paper Session 4
Zhenyu Liu, George Washington University, A Triangle Test for Equality of Distribution Functions in High Dimension
Ori Rosen, University of Texas-El Paso, A Bayesian Model for Multivariate Functional Data
(co-author: Wesley Thompson)
E. James Harner, West Virginia University, LifeStats: An Interactive Environment for Teaching Statistics
(co-authors: D. Luo and J. Tan)
Statistics and Evolutionary Biology, I
Organizer and Chair: Haipeng Shen
Travis Gaydos, UNC-Chapel Hill, Quantification of Curves' Variation and Simplicity to Find Genetic Constraints
(co-authors: Joel Kingsolver and J.S. Marron)
Sensor Networks and Statistics - New Researchers Session
Organizer and Chair: George Michailidis
Natallia Katenka, University of Michigan, A Cost-efficient Approach to Wireless Sensor Network Design
Sheela Nair, UCLA, Fault Detection for Embedded Networked Sensing
Alcohol-Related Public Health Risks
Organizer and Chair: Yasmin Said
Yasmin H. Said, Cambridge, and George Mason University, Estimating Spatiotemporal Effects for Ecological Alcohol Intervention Models
Edward Wegman, Cambridge, and George Mason University, Spatial and Computational Models of Risks for Alcohol Users
Contributed Paper Session 5
Vincent A. Cicirello, The Richard Stockton College of New Jersey, Statistically Modeling the Performance of a Multistart Randomized Heuristic Algorithm
Eric Tassone, Google, Keeping a Search Engine Index Fresh: Risk Versus Optimality Trade-offs in Estimating Frequency of Change in Web Pages
(co-authors: C. Grimes and D. Ford)
Leming Qu, Boise State University, Copula Density Estimation by Total Variation Penalized Likelihood with Constraints
Statistics and Evolutionary Biology, II
Organizer and Chair: Haipeng Shen
Christina Burch, UNC-Chapel Hill, Distribution of Mutation Effects and Adaptation in an RNA Virus
Integration of Disparate Types of Information
Organizer: Wendy Martinez
Chair: Jeffrey Solka
Carey Priebe, Johns Hopkins University, Disparate Information Fusion: On the Exploitation of Multiple Disparate Dissimilarities
Brent Castle, Indiana University, Combining Disparate Information by Nonmetric Multidimensional Scaling
(co-author: Michael Trosset)
Spatial Risk Mapping: Prediction and Change Detection
Organizer and Chair: Michael Porter
Ronald D. Fricker, Jr., Naval Postgraduate School, Using the Repeated Two-sample Rank Procedure for Detecting Anomalies in Space and Time
Contributed Paper Session 6
Joran Elias, University of Montana, Making Tree Ensembles More Robust to One Sided Noise
Andrejus Parfionovas, Utah State University, Classification Trees with Oblique Splits for Multidimensional Datasets
Change Detection in Random Graphs
Organizer and Chair: David Marchette
David J. Marchette, Naval Surface Warfare Center, Detecting Activity Changes in Graphs
Risk of Reaching False Conclusions
Organizer and Chair: Stan Young
Stan Young, NISS, The Problem of Observational Studies
Robert Obenchain, SoftRx, An Illustration of the "Local Control" Approach to Adjustment for Treatment Selection Bias and Confounding in Observational Studies