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INTERFACE 2000 CONTRIBUTED SESSIONS


FORMAT:
15 minutes for presentations
15 minutes for discussion following all presentations




Thursday, April 6, 2000

1:30-3:15 p.m.

Strategies for Investigating Geophysical and Other Complex Data
Chair: Samantha Bates
University of Washington

Compressing Massive Geophysical Datasets Using Quantization
Amy Braverman
Jet Propulsion Laboratory

Finding Bent-Double Radio Galaxies: A Case Study in Data Mining
I. K. Fodor, C. Baldwin, E. Cantú-Paz, C. Kamath, and N. Tang
Lawrence Livermore National Laboratory

Characterizing the Complexity of a High-Dimensional Classification Problem
Carey E. Priebe
Johns Hopkins University
David Marchette
Naval Surface Warfare Center

Multiresolution Stochastic Models for Object Recognition in Self-Similar Texture Image
Richard J. Barton, Jennifer Davidson, Lili Chen, and Fei Wan
Iowa State University

Predicting the Phase Transition in 3-Colorable Graphs
Hao Zhang
Washington State University

On the Decomposition of Spatial Processes
Reinhard Furrer
Swiss Federal Institute of Technology

Thursday, April 6, 2000

1:30-3:15 p.m.

Computational and Estimation Issues in Modeling
Chair: Barbara Bailey
University of Illinois at Urbana-Champaign

Bayesian Computations for Random Environment Models
Dhaifalla K. Al-Mutairi
Kuwait University

Borrowing Strength without Explicit Data Pooling: Estimating with External Constraints
Jerome Reiter
Williams College

Do Blocks Make a Neighborhood?
Approaches to Estimating Neighborhood Parameters Based on Localized Observations

Carolyn A. Carroll
Stat Tech, Inc.

Semi-Parametric Nonlinear Mixed Effects Models
Yuedong Wang and Chunlei Ke
University of California, Santa Barbara

Computational Aspects of Fitting Generalized Nonparametric Mixed Effects Models
Peter Karcher and Yuedong Wang
University of California, Santa Barbara

Likelihood Based Tests for Over and Underdispersion Against General Alternatives
Gordon K. Smyth and Heather Podlich
University of Queensland

 

Thursday, April 6, 2000

1:30-3:15 p.m.

Wavelets, Splines, State-Space and Adaptive Models
Chair: Hyunjoong Kim
Worcester Polytechnic Institute

NORM Thresholding Method in Wavelet Regression
Dongfeng Wu
University of Texas

Data-Driven Optimal Denoising and Recovery of Derivatives Noisy Signals Using Multiwavelets
Nathaniel Tymes and Sam Efromovich
University of New Mexico

Adaptive Splines and Genetic Algorithms for Optimal Low-Dimensional Statistical Modeling
Jennifer I. Pittman
Pennsylvania State University

Partially Adaptive Bandwidth Used in Prediction and Local Regression
Janis Grabis
Riga Technical University

Self-Modeling Regression with Random Effects Using Penalized Regression Splines
Naomi S. Altman and Julio C. Villarreal
Cornell University

Estimation of Nonlinear State-Space Models in the Presence of Censored Observations
Craig Johns, Colorado University and NCAR
Robert H. Shumway,University of California, Davis

Thursday, April 6, 2000

1:30-3:15 p.m.

Applications of Exploring, Modeling, and Presenting Large Datasets
Chair:
Derek Stanford
MathSoft, Inc.

Predictive Statistical Models for Detecting Anomalies and Congestion in IP Based Networks
Elisa M. Santos
Telcordia Technologies

A Hierarchical Mixture Model for WWW-Usage
Dee Denteneer
Philips Research

Tracking Timing Patterns for Millions of Customers in Real-Time
Jose C. Pinheiro, Diane Lambert, and Don X. Sun
Bell Labs-Lucent Technologies

Data Mining on Time Series: An Illustration Using Fast Food Restaurant Franchise Data
Lon-Mu Liu, S. Bhattacharyya, S. L. Sclove, R. Chen, and W. J. Lattyak
University of Illinois, Chicago, Scientific Computing Associates Corp.

Redesigning Tables and Graphics for Federal Statistical Agencies
Daniel B. Carr
George Mason University

Remote Medical Evaluation and Diagnostics: A Testbed for Hypertensive Patient Monitoring
John C. Dumer, Timothy P. Hanratty, and Barry A. Bodt
U.S. Army Research Laboratory
H. Mitchell Perry and Sharon E. Carmody
Veterans Administration

 

Friday, April 7, 2000
1:30-3:15 p.m.

Exploration and Visualization in High Dimensions
Sponsored by The Caucus for Women in Statistics
Chair:
Matthias Schonlau
RAND

Exploration and Estimation of North American Climatological Data
James A. Shine and Paul F. Krause
U.S. Army Topographic Engineering Center

Visualizing Abandoned Hazardous Waste Sites in the United States
Carolyn K. Offutt
U.S. Environmental Protection Agency

High-Dimensional Visualization Using Continuous Conditioning
William C. Wojciechowski and David W. Scott
Rice University

Graphical Techniques for the Exploration of Functional Data
E. Neely Atkinson
MD Anderson Cancer Center

Authenticating Vulnerability Measurements
Edward J. Wegman
George Mason University

2D Classification Trees
Hyunjoong Kim
Worcester Polytechnic Institute
Wei-Yin Loh
University of Wisconsin, Madison

 

Friday, April 7, 2000
1:30-3:15 p.m.

Multivariate Modeling: Issues and Applications
Chair: Jerome Reiter
Williams College

Statistical Analysis of Rhizosphere Microbial Communities
Jayson D. Wilbur, Cindy H. Nakatsu, Sylvie M. Brouder, and R. W. Doerge
Purdue University

A Study of Faculty Equity Salary Using Derived Data
Trong Wu
Southern Illinois University, Edwardsville

Use of Latent Variable Models in Air Quality Monitoring
William F. Christensen and Stephan R. Sain
Southern Methodist University

CCA: Cannonical Correlation or Correspondence Analysis? Which is Better for Analysis and Interpretation of Multivariate Data?
A. Dale Magoun
University of Louisiana at Monroe
Linda Peyman
U.S.A.E./WES

Penalized Score Equations and Penalized GEE
Wenjiang J. Fu
Michigan State University

Assessing Deformation in Glaciers
S. Huzurbazar
University of Wyoming

Some Statistical Measures on the National, Distribution Center and Dealer Demands Along the Supply Chain
Nick T. Thomopoulos
Illinois Institute of Technology
Wayne E. Bancroft
Motorola Corporation
Nick Z. Malham
Forecasting & Inventory Consultants, Inc.

 

Friday, April 7, 2000
1:30-3:15 p.m.

Innovations in Model Diagnostics and Fitting Algorithms
Chair: David van Dyk
Harvard University

Multiple Outlier Detection
David W. Scott
Rice University

Parameter Selection for Constrained Solutions to Ill-Posed Problems
Bert W. Rust
National Institute of Standards and Technology

Optimal Algorithms for Unimodal Regression
Quentin F. Stout and Janis Hardwick
University of Michigan

Using the Response Variable in Principal Components Regression
Roy E. Welsch
MIT

Case Studies of Normal Diagnostics in Regression Using Recovered Errors
Donald E. Ramírez
University of Virginia
Donald R. Jensen
Virginia Polytechnic Institute

Tree-Based Models for Fitting Stratified Linear Regression Models
William Shannon
Washington University School of Medicine, St. Louis
Maciej Faifer and Cezary Janikow
University of Missouri, St. Louis

 

Friday, April 7, 2000
1:30-3:15 p.m.

Time Series and Proportional Hazards
Chair: Jennifer I. Pittman
Pennsylvania State University

Ingerence About the Change-Points in a Sequence of Random Vectors
A. K. Gupta
Bowling Green State University
J. Chen
University of Missouri, Kansas City

Detecting Change in Variance for Unequally Spaced Time Series
Tze-San Lee and N. Hou
Western Illinois University

Dynamic Modelling of Spectral Density Power Rhythms in All-Night Electroencephalograph (EEG) Recordings
Matthew R. Marler, J. Christian Gillin, Arlene Schlosser, and Hanspeter Landolt
University of California, San Diego

Importance Bootstrap Resampling for Proportional Hazards Regression
Kim-Anh Do
MD Anderson Cancer Center
Bradley M. Broom
Rice University
Xuemei Wang
MD Anderson Cancer Center

The Introduction of Local Spread as a Measure of Non-Stationarity
Robert A. Hedges and Bruce W. Suter
Air Force Research Laboratory

Multivariate Time Series Analysis in Principal Component Space
Joseph N. Ladalla
University of Illinois, Springfield

Sequential Testing of Proportional Hazards Models
Victor D. Zurkowski
University of Toronto

Saturday, April 8, 2000

8:00-9:45 a.m.

Uncertainty Quantification in Complex Models
Chair: Todd L. Graves
Los Alamos National Laboratory

Quantifying the Effects of Noise on Biogeochemical Models
Barbara Bailey
University of Illinois, Urbana-Champaign
Scott Doney
NCAR

The Selection of the Optimal Structure of the Earth's Model for Forecasting the Main Physical Parameters
Alexander Dmitrievich Gorobets
Sevastopol State Technical University

Cost-Effective Uncertainty Analysis
Daniela Stoevska-Kojouharov
Monmouth University

Statistical Quantification of Prediction Error Associated with Computational Predictions
Robert G. Easterling and Marcey Abate
Sandia National Laboratories

The Role of Statistical Methods in Atmospheric Model Intercomparison Projects
Christiane Jablonowski
University of Michigan

Confidence Bands for Nonparametric Curve Estimates
David J. Cummins
Eli Lilly & Company
Douglas Nychka
National Center for Atmospheric Research

 

Saturday, April 8, 2000

8:00-9:45 a.m.

Statistical Tests, Estimation and Stability
Chair: Imola K. Fodor
Lawrence Livermore National Laboratory

An Adjusted, Asymmetric Two Sample t-Test
Sandy D. Balkin
Ernst & Young LLP
Colin Mallows
AT&T Labs-Research

The Wilson-Hilferty Transform is Locally Saddlepoint
George R. Terrell
Virginia Polytechnic Institute

On Numerical Stability of MGF and CF
Jinhyo Kim
Cheju National University, Korea

A Test for Symmetry about a Known Median Based on a Runs Statistic
Alex Leonardo Rojas Peńa
University of Puerto Rico
Jimmy A. Corzo Salamanca
National University of Colombia

Mining Evolutionary Data for Multidimensional Scaling of Gene Measurements
Rida Moustafa and Edward J. Wegman
George Mason University

Efficient Nonparametric Estimation of a Distribution Function
Reza Modarres
George Washington University

Large One-Sample and Two-Sample Tests for Average Hazard Rates
John J. Hsieh
University of Toronto

 

 

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