The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
330
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Nonparametric Statistics
|
| Abstract - #304627 |
|
Title:
|
Inverse Function-Based Methodology for Inverse Sensitivity Analysis
|
|
Author(s):
|
Jessi Cisewski*+ and Jan Hannig and Don Estep and Troy Butler
|
|
Companies:
|
The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and Colorado State University and The University of Texas at Austin
|
|
Address:
|
269 Sweet Bay Place, Carrboro, NC, 27510, United States
|
|
Keywords:
|
sensitivity analysis ;
inverse problem ;
generalized fiducial inference ;
differential equations ;
uncertainty quantification
|
|
Abstract:
|
There is a growing need of statistical methodology for problems addressing inverse sensitivity analysis in which there are one or multiple quantities of interest connected to the input space through a system of partial differential equations. Though Bayesian methodology has become quite popular in this setting, we explore potential non-Bayesian solutions using some newer ideas related to inverse function-based inference. The goal in the proposed setting is to understand the distribution on parameter space without use of a prior distribution.
|
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 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.