Abstract #301066


The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2002 Program page



JSM 2002 Abstract #301066
Activity Number: 143
Type: Topic Contributed
Date/Time: Monday, August 12, 2002 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #301066
Title: Uncertainty Quantification of Computer Models
Author(s): Kenny Ye*+ and James Glimm
Affiliation(s): State University of New York, Stony Brook and State University of New York, Stony Brook
Address: , Stony Brook, New York, 11794-3600, USA
Keywords: Bayesian Analysis ; Numerical Simulation ; Prediction Interval
Abstract:

Computer model based prediction plays an increasing role in engineering design and other critical problems. For such predictions to be effective, they must be accompanied with reliable estimates of their level of accurracy. A method based on Bayesian analysis and multiscale simulation is developed to assess this problem. A case study on an oil reservoir will also be presented.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002