Abstract Details
|
Activity Number:
|
49
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #307155 |
|
Title:
|
Some Open Challenges in the Analysis of Network Data
|
|
Author(s):
|
Stephen E. Fienberg*+
|
|
Companies:
|
Department of Statistics, Carnegie Mellon University
|
|
Keywords:
|
network experiments ;
latent trajectories ;
dynamic network-based models ;
transactional databases
|
|
Abstract:
|
In this presentation I describe some interesting classes of statistical models for networks and outline a pair of open challenges in the analysis of network data: (1) dynamic network-based models for transactional databases that incorporate geography and other measures of locality, (2) statistical methods for the design and analysis of network experiments when observations are not independent due to network interactions and influences. Both of these challenges need to be understood from the Bayesian modeling perspective.
|
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.