JSM Activity #241

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Activity ID:  241
Title
! Modern Statistical Methods for Complex Problems
Date / Time / Room Sponsor Type
08/13/2002
2:00 PM - 3:50 PM
Room: H-Gramercy Suite A 		Section on Statistical Computing* Topic Contributed
Organizer: Claudia Becker, Universitaet Dortmund
Chair: Christopher Raphael, University of Massachusetts
Discussant: 3:25 PM - Claudia Becker, Universitaet Dortmund    
Description

The world of statistics is changing - data are higher in dimension and more complex than ever, like in image processing or in logistics problems. New methods for optimization, classification, and modeling dependencies are shown in this session, designed for the challenges of this new statistics world.
  300549  By:  Sonja  Kuhnt 2:05 PM 08/13/2002
Graphical Modelling from the View Point of Robustness

  300210  By:  Thomas  Fender 2:25 PM 08/13/2002
Statistical Methods for Information Management in Large Logistics Networks

  300247  By:  Sylvain  Sardy 2:45 PM 08/13/2002
Spatiotemporal Statistical Inverse Problem with an Application in Medical Imaging

  301685  By:  James A. Shine 3:05 PM 08/13/2002
A Comparison of Classification Methods for Large Imagery Data Sets

JSM 2002

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Revised March 2002