Abstract Details
|
Activity Number:
|
172
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Monday, August 5, 2013 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #308848 |
|
Title:
|
Learning Bayesian Computation from A to Z
|
|
Author(s):
|
Aijun Gao*+ and Fanni Natanegara and Jinghui Liu and Wei Zou
|
|
Companies:
|
inVentiv Health Clinical and Eli Lilly and Company and inVentiv Health Clinical and inVentiv Health Clinical
|
|
Keywords:
|
Emax model ;
WinBUGS ;
R ;
SAS ;
JAGS ;
Stan
|
|
Abstract:
|
Currently multiple software and languages are available for Bayesian analyses which make the learning of Bayesian computation much easier and more practical. The software and languages include WinBUGS, R, SAS, JAGS (Just Another Gibbs Sampler) and Stan. Bayesian approach to non-linear Emax models using these tools will be discussed for some simulated data. Practical issues in Bayesian computation will also be addressed along with comparisons of the tools and interfaces between different languages.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 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.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.