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:
|
424
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #303249 |
|
Title:
|
Bayesian Model Selection Using Nonlocal Priors
|
|
Author(s):
|
Lu Wang*+
|
|
Companies:
|
University of California at Los Angeles
|
|
Address:
|
, , ,
|
|
Keywords:
|
Bayesian model selection ;
non-local priors ;
Gibbs sampling
|
|
Abstract:
|
Bayesian model selection method is applied for smoothing splines through knot selection. We compared different priors on knot selection problem and found corresponding shrinkage penalization for each prior. We also applied non-local priors on model selection for generalized linear models. Furthermore, computational issues for posterior sampling was addressed.
|
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.