| INTERFACE
2008 RISK : Reality May 21-24, 2008 in Durham, NC |
Sponsored
by:
|
Presentation Slides
(Files are being collected and added here as they arrive)
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