INVITED PROGRAM WITH TIME SCHEDULE Note: This schedule is posted to allow speakers to confirm I met all time constraint requests. Thus it is subject to minor changes for a few days. FINAL LIST April 7, 1997 April 4, 1997 April 1, 1997 (last updated) March 21, 1997 (previous update) March 3, 1997 (previous update) SCHEDULE: Conference registration begins on Wednesday afternoon. The first official conference event is a Wednesday evening mixer. Technical sessions will be held on Thursday and Friday from 8:15 a.m. - 5:15 p.m. and from 8:15 a.m. to noon on Saturday. An exhibition hall will be open during those hours. (PLEASE CHECK THE PROGRAM FOR ANY ERRORS OR CONFLICTS) (INDIVIDUAL SESSION NUMBERS HAVE NO SPECIAL MEANING) (PLEASE SEND ANY ERRORS TO scottdw@rice.edu) WEDNESDAY May 14, 1997 Registration and Evening Mixer THURSDAY May 15, 1997 T-A1 8:15 - 9:45 Opening and Welcome President Malcolm Gillis, Rice University David W. Scott, Rice University 1. Keynote Address Jerome H. Friedman, Stanford University "Data Mining and Statistics: What's the Connection?" T-A2 10:15 - 12:00 24. "Uncertainty Analysis for Computer Modeling Systems" Organizer: Al Liebetrau, Battelle Labs Northwest 1. Albert M. Liebetrau, Guang Chen, Feng Gao, PNNL "Uncertainty Analysis for Computer Modeling Systems" 2. Michael D. McKay and John D. Morrison, LANL "Structural Model Uncertainty in Stochastic Simulation Models" 3. Jim Koehler, U. Colorado Denver "Estimating the Response, Derivatives and Transmitted Variance using Computer Experiments" 7. "New Directions for Statistical Packages/Environments" 1. John Sall, SAS "The Theme of 'Context' in Statistics Software" 2. Cleve Moler, Chairman and Chief Scientist, MathWorks "Matrix -- The Mother of All Data Structures" 3. Leland Wilkinson and Laszlo Engelman, SPSS "Adaptive Sampling for Smoothing Moderately Large Datasets" 16. "Computational Environmental Geostatistics" Organizers: Dennis Cox and Katherine Ensor, Rice University 1. Donald E. Myers, U. of Arizona "Spatial vs Ensemble Statistics of Spatial Simulation Algorithms" 2. Steve Rathbun, U. Georgia "Geostatistical Methods for Estimating the Total Mass of Mercury in the Waters of the Florida Everglades" 3. David A. Andrews & Dennis D. Cox, Rice University "Statistical Modeling of Vector-Valued Spatial Data using Gradient Processes" T-Lunch 12:15 - 1:00 (Box lunch furnished; courtesy of SAS, Inc) 2. Plenary Address (Luncheons) Bruce Nelson, Chief Science Officer, Cisco Systems "An Insider's View of Networking Trends" T-P1 1:30 - 3:15 25. "Numerical Methods for Large Problems" 1. Richard Tapia, Rice University "Interior-Point Methods: New Algorithmic Methodology for Large-Scale Inequality Constrained Optimization" 2. Bill Symes, Rice University "Software and Algorithms for Estimation Problems in Reflection Seismology" 3. Art Owen, Stanford University "Numerical Integration in Infinite and Other High Dimensions" 4. "Educational Issues and Examples" 1. Sandy Weisberg and Dennis Cook, U. Minnesota "Graphs in Statistical Data Analysis: Is the Medium the Message?" 2. Adrian Bowman, University of Glasgow "Technology in the Teaching and Learning of Statistics" 3. R.W. Oldford, University of Waterloo "Hubs and Signposts: Incremental Implementation of Statistical Strategy" 21. "Business Data Mining: Methodological Viewpoints" Organizer/Chair: Clark R. Abrahams, NationsBank Consumer Credit Policy 1. Kenneth L. Reed and John Gins, HyperParallel "A Systems Approach to Knowledge Discovery" 2. Troy Haines, American Management Systems "The Importance of Preprocessing in Data Mining" 3. Jim Sattler, Saber Consulting Services "Operational Data Considerations in Data Mining" T-P2 3:45 - 5:30 8. "Visualization: Applications and Environments" Organizer/Session Chair: Sally C. Morton, RAND Corp 1. Linda Clark, William S. Cleveland, Lorraine Denby (*), and Chuanhai Liu, AT&T Bell Labs "Analyzing Complex Data Sets: Visualization and Modeling" 2. Steve Bankes, RAND Corp "Visualizing Multi-Dimensional Spaces of Models" 3. Dan Rope, Bureau of Labor Statistics "A Java Graphics Production Class Library" 26. "Software for Data Mining and Data Warehousing" Organizer: Willy Zwaenepoel and Tony Elam, Rice University 1. Mario Schkolnick, SGI "Leveraging Visual and Analytic Mining techniques" 2. Alan Cox, Rice University "Treadmarks" 3. David Wolpert, IBM TBA 40. "Topics in Biomathematics and Biostatistics" 1. Terry Therneau, Mayo Clinic "Cox Models for Subsampled Data" 2. Babette A. Brumback and John A. Rice, Harvard & UC Berkeley "Smoothing Spline Models for Stratified Longitudinal Data" 3. William M. Sallas and Jerry R. Nedelman, Novartis Pharmaceuticals Corp "Selection of Covariates for Population Pharmacokinetic Models" BANQUET -- 6:30 - 10:30 ---------------------------------------------------------------------- FRIDAY May 16, 1997 F-A1 8:15 - 10:00 18. "Wavelets and Image Processing" 1. Andrew Bruce, Sylvain Sardy, and Paul Tseng, MathSoft/UWash "Alternative to the Basis Pursuit Algorithm for Wavelet Denoising" 2. C. Sidney Burrus and Jan E. Odegard, Rice University "Generalized Coiflets, A New Wavelet System for DSP" 3. Richard Baraniuk, Rice University TBA 3. "Virtual Reality and Data Analysis" 1. Ed Wegman, George Mason University "Immersive Methods for Exploratory Analysis" 2. Dianne Cook, Laura Nelson, Carolina Cruz-Neira, Juergen Symanzik, Anthony Olsen, Sue Pierson, and Noel Cressie Iowa State University/EPA "Exploring Associations Among Mid-Atlantic Stream Indicators Using Dynamic Multivariate Graphics and Geographic Mapping In A Highly Immersive Virtual Reality Environment" 3. A.J. Rossini and R.W. West, University of South Carolina "Virtual Reality as a Tool for Statistical Research" 30. "Semi-Parametric Modeling -- State of the Art and Computational Issues" Organizer/Chair: Michael Schimek, University of Graz, Austria (with discussants) 1. Marlene Mueller, Humboldt University, Berlin "Computer-assisted Semiparametric Generalized Linear Models" (Disc: Joan Staniswalis, UTEP) 2. Joan Staniswalis, Peter F. Thall, John Salch UT El Paso, MD Anderson Cancer Center, Rice Univ "Semiparametric Regression Analysis for Recurrent Event Interval Counts" (Disc: Randy Eubank, TAMU) 3. Robert Kohn and Mike Smith, New South Wales/Monash Univ "A Bayesian Approach to Bivariate Nonparametric Regression" (Disc: Michael Schimek/Knorr-Held) F-A2 10:30 - 12:15 15. "National Research Center on Statistics and the Environment" Organizer: Peter Guttorp, University of Washington 1. Peter Guttorp, University of Washington "NRCES: The University of Washington Vision" 2. Larry Cox, EPA TBA 3. Abdel El-Shaarawi (Disc) Canadian Center for Inland Waters 32. "Math/Stat Massive Information Retrieval" Organizer/Chair: Jim Maar, DOD 1. Michael W. Berry, University of Tennessee, Knoxville "Intelligent Information Management Using Latent Semantic Indexing" 2. Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen Helsinki University of Technology, Espoo, Finland "Statistical Aspects of the WEBSOM System in Organizing Document Collections" 3. Jan Pedersen, Verity, Inc "Document Routing and Filtering: Experiments in the Application of Classification to Textual Documents" 38. "Imaging" 1. Wendy Poston, Thomas Holland, and Edward Wegman, NSWC/GMU "Ultrasonic Imaging of Cast Ductile Iron Projectiles" 2. J.L. Solka, G.W. Rogers, and W.L. Poston, NSWC "Application of Statistical Visualization Techniques to SAR Derived Feature Sets" 3. Ranjan Maitra, Bellcore "Synthetic Resampling Methods for Variability Estimation in Functional Images" F-Lunch 12:30 - 1:15 (Box lunch furnished; courtesy of VNI, Inc) 2. Plenary Addresses (Luncheons) 1. "Computational Biochemistry" George Phillips, Rice University "Computer Models of Proteins in Action" 2. "Grand Challenges and Massive Data Sets" Siddartha Dalal, Susan Dumais, Jon Kettenring(*), Verghese Kurien, Allen McIntosh, Ranjan Maitra, Bellcore "Massive Data Sets, Data Mining, and Decision Support: Challenges and Experiences" F-P1 1:30 - 3:15 19. "Dimension Reduction and Projection Pursuit" 1. Guy Nason, University of Bristol "Functional Projection Pursuit" 2. Carey Priebe, The Johns Hopkins University "Approximate Distance Clustering" 3. Mark Marson and David Scott, DOD and Rice University "Dimension Reduction Via Kernel Bias Decomposition" 22. "Business Data Mining: Application Views" Organizer/Chair: Clark R. Abrahams, NationsBank Consumer Credit Policy 1. Michael Berry and Gordon Linoff, MRJ Technology Solutions "Business Data Mining in Practice" 2. Marc Goodman, Continuum Software Inc "Data Mining for Simulation in a Process-Control Domain" 3. Robert Singer, CMS "Strategic Integration: Utilizing Data Mining to Create Intelligent Customer Communication Programs" 31. "Statistics and Statisticians in the 21st Century" Organizer: Arnie Goodman 1. Emanuel Parzen, Texas A&M University "Data Mining Statistical Methods Mining, and History of Statistics" 2. Anne Petersen, NSF 3. Arnie Goodman, University of California at Irvine "Career Insurance for the 21st Century" 39. "Sampling and Time Series" 1. David F. Findley and Bor-Chung Chen, U.S. Census Bureau "Novel Methods and Features in the Census Bureau's X-12-ARIMA Seasonal Adjustment Program" 2. Vicki Lancaster and Sallie Keller-McNulty, Kansas State Univ "The Use of Weighing Designs and Inverse Theory on Composite Sampling Problems" 3. Rong Chen and Thomas B. Fomby, Texas A&M University & SMU "Forecasting with Stable Seasonal Pattern Models with an Application of Hawaiian Tourist Data" F-P2 3:45 - 5:30 17. "Computing Issues in Environmental Statistics" Organizer/Chair: Peter Guttorp, U Washington 1. T.J. Moore and Tim Nyerges, U Washington "Uncovering Uncertainties and Mining Meanings with Geographic Information Systems for Collaborative Risk Evaluation" 2. Wendy Meiring, Peter Guttorp, and Paul Sampson, UCAR/UWash "Computational Issues in Fitting Spatial Deformation Models for Heterogeneous Spatial Correlation" 3. Doug Nychka and Nancy Saltzman, NC State/NISS "Design and Evaluation of Networks for Monitoring Air Quality" 29. "Virtual Departments" Organizer: Jan de Leeuw 1. Balasubramanian Narasimhan, Stanford University "How To Set It Up" 2. Jan de Leeuw, UCLA "What Is There In Teaching?" 3. Tony Rossini, University of South Carolina "What Is There In Research?" 27. "Hardware Architectures and Networks to Support Data Mining Applications" Organizer: Tony Elam and David Scott, Rice University 1. Arcot Rajasekar, San Diego Supercomputer Center (joint with Chaitan Baru, Richard Frost, Richard Marciano, Reagan Moore, Mike Wan) "MDAS -- A Massive Data Analysis System" 2. Robert Hollebeek, U. Pennsylvania "Data Engines for Large Scale Mining" 3. Denise Moreau, Baylor College of Medicine TBA ---------------------------------------------------------------------- SATURDAY May 17, 1997 S-A1 8:15 - 10:00 13. "Highlights of JCGS" Organizer: Bill Kennedy Session Chair: Sallie Keller-McNulty, Kansas State Univ 1. David Marchette and Ed Wegman, NSWC and GMU "Finding Modes with the Filtered Kernel Estimator" 2. Michael O'Connell and Russell Wolfinger Becton Dickinson and SAS "Flexible Response Surface Methods via Spatial Regression and EBLUPS" 3. Russell Almond and David Madigan, ETS and U Washington "Visual Explanation Tools for Graphical Models" 10. "Massive Data Sets in an Industrial Setting and Finance" 1. R. Douglas Martin, University of Washington "Robust Statistics and Data Mining In Finance and Financial Engineering" 2. Peter Rousseeuw, University of Antwerp, Belgium "Applications of Positive-Breakdown Methods" 3. Richard A. Becker and Allan R. Wilks(*), AT&T Labs "War Stories from the Data Trenches" 37. "Smoothing" 1. Jeff Simonoff, New York University "Three Sides of Smoothing: Categorical Data Smoothing, Nonparametric Regression, and Density Estimation" 2. Lasse Holmstrom, University of Helsinki, Finland "The Error and the Computational Complexity of a Multivariate Binned Kernel Density Estimator" 3. Michael D. Lock, Douglas Haney, and Michael E. Tarter Becton Dickinson and UC Berkeley "Using Weighted, Smooth Quantile Estimates to Establish Medical Normal Ranges" S-A2 10:30 - 12:15 23. "Bayesian Methods" 1. Sid Chib, Washington University "Analysis of High Frequency Data by Markov Chain Monte Carlo Methods" 2. Luke Tierney, University of Minnesota "Some Adaptive Monte Carlo Methods for Bayesian Inference" 3. David M. Higdon, Duke University "A Process-Convolution Approach for Spatial Modeling" 6. "Neural Nets and Pattern Recognition" 1. Trevor Hastie, Stanford University "Polychotomus Classifiers and PACTS" 2. John Elder, Chief Scientist, Quantitative Solutions "Fusing Diverse Algorithms" 3. Brian Ripley, University of Oxford "Can Statistical Theory Help Us Use Neural Nets Better?" 12. "Linking Software for Environmental and Spatial Data Sets" 1. Dan Carr, Tony Olsen, and Ann Carbonell "Linking Statistical Summaries and Maps: An Approach to Understanding Massive Spatial Data Sets" 2. Juergen Symanzik, Thomas Koetter, Swetlana Schmelzer, Sigbert Klinke, Dianne Cook, Debby Swayne Iowa State, Humboldt University, Bellcore "Spatial Data Analysis in the Dynamically Linked ArcView/XGobi/XploRe Environment" 3. Jerry Whittaker and David Scott, ERS/USDA and Rice Univ "Applications of the Averaged Shifted Histogram in Environmental Economics"