The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
570
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #302550 |
|
Title:
|
Change-Point Analysis Using Shape-Restricted Regression Splines in a Bayesian Framework
|
|
Author(s):
|
Amber Hackstadt*+ and Mary C. Meyer and Jennifer Hoeting
|
|
Companies:
|
Colorado State University and Colorado State University and Colorado State University
|
|
Address:
|
218 N Charles Street 1510, Baltimore, MD, 21201,
|
|
Keywords:
|
change-point ;
shape-restricted regression ;
regression splines ;
free knot splines
|
|
Abstract:
|
We extend a Bayesian shape-restricted regression spline model to allow for one or more change-points. The Bayesian shape-restricted regression spline model uses fixed or free knot regression splines along with vague priors to estimate functions while providing posterior distributions that facilitate inference. The model allows for the selection of the location of the change-points while retaining a-priori information about shape. The Bayesian framework facilitates inference and the regression spline framework provides flexibility in function estimation.
|
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 2011 program
|
2011 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.