Abstract Details
Activity Number:
|
503
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Bayesian Statistical Science
|
Abstract #312394
|
View Presentation
|
Title:
|
Reference Prior Development for Exponential Random Graph Model
|
Author(s):
|
Sayan Chakraborty*+ and Tapabrata Maiti
|
Companies:
|
Michigan State University and Michigan State University
|
Keywords:
|
ERGM ;
Reference Priors ;
Jeffreys's Priors
|
Abstract:
|
Due to the current advancement in social media, an individual has opportunity to propagate information to the largest number of peers ever in the history. Recently, the scientific interest has led to the rapid development of statistical models for social network structure. Exponential Random Graph Model (ERGM) is very popular in this context. Standard Bayesian techniques may not work well for this model. In this paper, we develop reference prior distributions for the model parameters and discussed the techniques for dealing the normalizing constant.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.