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Conference Events
October 11, 2005 7:30 p.m.: registration/social reception
October 12-14 2005 7:30 a.m.-4:30 p.m. (tentatively): registration, continental breakfast, technical sessions, lunch, and posters

Final Program as of September 12, 2005
(Note: expected speakers are in bold)

Technical sessions (unless chair/organizer arranges something different):

  • 90 min session, 3-(25 min talks with 5 min disc for each speaker)
  • 60 min session 2-(25 min talks with 5 min disc for each speaker)
October 11  
6:00 pm Registration/Check-in
7:30 pm Social reception
   
October 12  
7:30 am - 8:30 am Continental breakfast available, Registration
8:15 am - 8:30 am Conference opening, announcements
8:30 am - 10:00 am Technical session A (90 min)

Session Title:  Algorithmic Construction of Efficient Designs
Chair/Organizer:  Hongquan Xu, University of California, Los Angeles, Department of Statistics

  1. Constructing Large Resolution IV 2k-p Fractional Factorial Designs, Robert M. Block, US Air Force, Resource Analysis and Applications Branch, Space Analysis Division, Headquarters Air Force Space Command, and Robert W. Mee, The University of Tennessee, Department of Statistics, Operations, and Management Science
  2. Projection Properties of Non-Regular Fractional Factorial Designs, Jason Loeppky, University of British Columbia, Department of Statistics
  3. Enumeration and Selection of Orthogonal Strength-3 Arrays, Eric D. Schoen, Eindhoven University of Technology
10:00 am - 10:30 am Break (coffee/tea) (30 min)
10:30 am - 12:00 pm Technical session B (90 min)

Session Title: Split-Plot Experiment Design
Organizer:  Christine Anderson-Cook, Los Alamos National Laboratory, Statistical Sciences Group
Chair: Randy Sitter, Simon Fraser University, Department of Statistics and Actuarial Science

  1. Second-Order Split-Plot Design Evaluation Criteria, Peter A. Parker, National Aeronautics and Space Administration, Aeronautics Systems Engineering Branch
  2. Optimal Split-plot Orthogonal Main-effects Plans, Peter Goos, Universiteit Antwerpen and J. M. Lucas, J. M. Lucas & Associates
  3. Split-plot Designs of Plot Size Two and Their Applications to Microarray Experiments, Kenny Ye, Albert Einstein College of Medicine of Yeshiva University, Division of Biostatistics, Department of Epidemiology and Population Health
12:00 pm - 1:30 pm Lunch provided (90 min)
1:30 pm - 3:00 pm Technical session C (90 min)

Session Title: Optimal Experiment Design
Organizer:  Leslie M. (Lisa) Moore, Los Alamos National Laboratory, Statistical Sciences Group
Chair: M. L. Aggarwal, The University of Memphis, Department of Mathematical Sciences

  1. Optimal Designs for Contingent Response Models, Huwaida S. Rabie, Georgetown University Medical Center, Division of Biostatistics and Bioinformatics
  2. Optimum Design for Binomial and Gamma Response Surfaces, A. C. Atkinson, London School of Economics, Department of Statistics
  3. Optimum Experimental Designs for Dynamic Systems in the Presence of Correlated Errors, Barbara Bogacka, Queen Mary, University of London, School of Mathematical Sciences and Maciej Patan, University of Zielona Gora
3:00 pm - 3:45 pm Break (coffee/tea) and Poster session I (45 min)
  1. Optimal Design for Parameter and Percentile Estimation in Dose Response Models with Restricted Design Spaces, Stefanie Biedermann, Ruhr-U Bochum, Germany, Fakultaet fuer Mathematik
  2. A Comparison of Criteria for Designing Choice Experiments, Roselinde Kessels, Katholieke U. Leuven, Belgium
  3. Efficient Experimental Designs for the Estimation of Hyper-parameters in Hierarchical Linear Models, Qing Liu, Ohio State University, Department of Statistics
  4. AR, DR and ER Optimality of VB Designs, Nutan Mishra, University of South Alabama, Department of Mathematics and Statistics
  5. Group Sequentially Locally Optimum Designs for Estimating Non-Linear Models, Farinaz Monadjemi, University of Sheffield
  6. Efficient Repeated Measurement Designs in the Presence of Interactions Between Direct and Carry-over Effects, Dong Kwon Park, Yonsei University, Korea
  7. Bayesian Designs for Model Discrimination, Andrew Rose, University of Southampton, School of Mathematics
  8. Bayesian Analysis of Conjoint Choice Experiment with the Application of Poisson Race Model, Shiling Ruan, Ohio State University
  9. Algorithms for Optimal Synchronizable Codes, Hao Wang, Michigan Tech University, Department of Mathematical Sciences
  10. Optimal Continuous Designs for Generalized Linear Models Under Model Uncertainty, David Woods, University of Southampton, School of Mathematics
  11. Optimal Fold-over Designs for Three-level Fractional Factorial Designs, Hong Zhou, University of Memphis, Mathematical Sciences Department
3:45 pm - 5:15 pm Technical session D (90 min)

Session Title:  Adaptive Design
Chair/Organizer:  Nancy Flournoy, University of Missouri, Department of Statistics

  1. Optimizing Adaptive Allocation Functions for Covariate Designs, George Sirbu, Bentley College, Mathematical Sciences Department
  2. Confidence Intervals for the Design Parameters of RPWD, An-Lin Cheng, Yale University School of Medicine, Biostatistics Department
  3. TBD
October 13  
7:30 am - 8:30 am Continental breakfast available, Registration
8:30 am - 10:00 am Technical session E (90 min)

Session Title: Analysis and Applications Topics
Organizer: Michael Hamada, Los Alamos National Laboratory, Statistical Sciences Group
Chair: Scott Vander Wiel, Los Alamos National Laboratory, Statistical Sciences Group

  1. Analysis of Experiments with Functional Responses, Hongquan Xu, University of California, Los Angeles, Department of Statistics
  2. Uncertainty Quantification for Combining Experimental Data and Computer Simulations, Brian Williams, Los Alamos National Laboratory, Statistical Sciences Group
  3. Development of a Test Plan for Repeated Measures Degradation Data, Joanne Wendelberger, Los Alamos National Laboratory, Statistical Sciences Group, Bill Meeker and Jennifer Huckett, Iowa State University, Department of Statistics
10:00 am - 10:30 am Break (coffee/tea) (30 min)
10:30 am - 12:00 pm Technical session F (90 min)

Session Title: Computer Experiments
Chair/Organizer:  Brian Williams, Los Alamos National Laboratory, Statistical Sciences Group

  1. S equential Experiment Design for Contour Estimation from Complex
    Computer Codes, Pritam Ranjan, Simon Fraser University, Department of Statistics and Actuarial Science
  2. Adaptive Parameter Space Exploration with Gaussian Process Trees, Robert Gramacy , University of California, Santa Cruz, Applied Mathematics and Statistics Department
  3. Bayesian Hierarchical Modeling for Integrating Low-accuracy and High-accuracy Experiments, Jeff Wu, Georgia Institute of Technology, School of Industrial and Systems Engineering
12:00 pm - 1:30 pm Lunch provided (90 min)
1:30 pm - 3:00 pm Technical session G (90 min)

Session title: Design of Screening Experiments
Chair/Organizer: Angela Dean, The Ohio State University, Department of Statistics

  1. Screening Strategies for Detecting Active Factorial Effects, Anna Vine, University of Southampton, Southampton Statistical Sciences Research Institute,
  2. Screening Designs for Model Selection, William Li, University of Minnesota, Operations and Management Sciences Department
  3. Design Issues in Drug Discovery: Forming Pools Using Optimal Coverage and Minimal Collision, Jacqueline M. Hughes-Oliver, North Carolina State University, Department of Statistics
3:00 pm - 3:45 pm Break (coffee/tea) and Poster session II (45 min)
  1. Factor Screening for Simulation Experiments, Bruce Ankenman, Northwestern University, Department of Industrial Engineering and Management Sciences
  2. Experimental Design Issues in a Procedure for Inferring the Total Pu Produced, Tom Burr, Los Alamos National Laboratory, Statistical Sciences Group
  3. A Catalogue of Non-isomorphic Indicator Functions, Shao-Wei Cheng, Academia Sinica, Institute of Statistical Sciences
  4. Identification of Dispersion Effects in Replicated Experiments, Cheryl Dingus, Ohio State University
  5. Sequential Design of Multi-Fidelity Computer Experiments for Optimization of Expensive Black-Box Functions, Deng Huang, Scientific Forming Technology Corporation
  6. Equivalence of Fractional Factorial Designs, Tena Katsaonis, Ohio State University, Statistics Department
  7. Mixture Experiments with Uniform Bounds on the Proportions, Thomas Klein, Indiana University, Department of Mathematics
  8. A Response-Modeling Approach to Computer Experimental Design, Brian Rutherford, Sandia National Laboratory
  9. Interval Designs for Logistically Constrained Experiments, Oleg Volkov, Queen Mary, University of London
  10. Controlled Sequential Factorial Design for Simulating Factor Screening, Hong Wan, Purdue University, School of Industrial Engineering
  11. Spatial Network Design to Detect Regional Trends in O3, Zhengyuan Zhu, University of North Carolina - Chapel Hill, Department of Statistics and Operations Research
3:45 pm - 4:45 pm Technical session H (60 min)

Session Title: Design Assessment
Chair/Organizer:  Christine Anderson-Cook, Los Alamos National Laboratory, Statistical Sciences Group

  1. Criteria for Designing Experiments: Some Practical Considerations, Douglas C. Montgomery, Arizona State University, Departments of Engineering and Statistics
  2. Response Surface Design Evaluation Using Mean Square Error Criteria, Connie M. Borror, Arizona State University West, Department of Mathematics and Applied Computing
7:00 pm - 8:00 pm DAE Steering Committee Closed Meeting
8:00 pm - 9:30 pm Future of DAE Open Meeting
   
October 14  
7:30 am - 8:30 am Continental breakfast available, Registration
8:30 am - 10:00 am Technical session I (90 min)

Session Title:  Combinatorial Design
Organizer:  Max Morris, Iowa State University, Department of Statistics
Chair: Ching-Shui Cheng, Academia Sinica, Institute of Statistical Sciences and UC Berkeley, Department of Statistics

  1. Accommodating Structure and Optimality in Block Designs: an E-strategy, J. P. Morgan, Virginia Polytechnic Institute, Department of Statistics
  2. On a Class of Block Designs and Its Use in Sampling, John Stufken, University of Georgia, Department of Statistics
  3. An Application of Orthogonal Arrays of Strength 2 in the Sensitivity Analysis of Computer Models, Max D. Morris, Iowa State University, Department of Statistics, Leslie M. Moore and Michael D. McKay, Los Alamos National Laboratory, Statistics Sciences Group
10:00 am - 10:30 am Break (coffee/tea) (30 min)
10:30 am - 12:00 pm Technical session J (90 min)

Session Title:  Experiment Planning Issues in System Reliability
Organizer:  Alyson Wilson, Los Alamos National Laboratory, Statistical Sciences Group
Chair: Todd Graves, Los Alamos National Laboratory, Statistical Sciences Group

  1. Experiment Planning Issues in System Reliability, Alyson Wilson, Los Alamos National Laboratory, Statistical Sciences Group
  2. Design of Experiments for Integrated Computer and Physical Experiments, Shane Reese, Brigham Young University, Department of Statistics and Derek Bingham, Simon Fraser University, Department of Statistics and Actuarial Science
  3. X-Testing Using Binary Data with Applications to Reliability Demonstration Plans, David Mease, San Jose State University, Department of Marketing and Decision Sciences
12:00 pm - 1:00 pm Lunch provided (60 min)
1:00 pm - 2:30 pm Technical session K (90 min)

Session Title: Bayesian Design
Organizer:   Kathryn Chaloner, The University of Iowa, Departments of Biostatistics and of Statistics and Actuarial Science

Chair: Randy Tobias, SAS Institute, Inc
  1. Bayesian D-Optimal Supersaturated Designs, Bradley Jones, SAS Institute Inc. (30 minutes talk, 5 discussion)
  2. A Bayesian Approach to the Design and Analysis of Fractionated Experiments, Roshan J. Vengazhiyil, Georgia Institute of Technology, School of Industrial and Systems Engineering (20 minute talk, 5 discussion)
  3. Bayesian Experimental Design for Another Bayesian's Analysis (or a Frequentist's), Kathryn Chaloner, University of Iowa, Departments of Biostatistics and of Statistics and Actuarial Science and Chin-Pei Tsai, Providence University (25 minute talk, 5 discussion)
2:30 pm - 3:00 pm Break (coffee/tea) (30 min)
3:00 pm - 4:00 pm Technical session L (60 min)

Session Title: Statistical Learning in High Dimensional Biological Data
Organizer:  Michael Zhu, Purdue University, Department of Statistics
Chair: Derek Bingham, Simon Fraser University, Department of Statistics and Actuarial Science

  1. RSIR: Regularized Slice Inverse Regression for Motif Discovery, Michael Zhu, Purdue University, Department of Statistics, Wenxuan Zhong, Harvard University, Peng Zeng, University of Auburn, Ping Ma, University of Illinois at Urbana-Champaign, and Jun S. Liu, Harvard University
  2. Supervised Robust Singular Value Decomposition, S. Stanley Young, Metabalon, Paul Fogel, Consultant, and Li Liu, Sanofi-Aventis
4:00 pm - 4:05 pm Conference closing (5 min)

 
   
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