Abstract Details
Activity Number:
|
627
|
Type:
|
Invited
|
Date/Time:
|
Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistical Learning and Data Mining
|
Abstract #315083
|
|
Title:
|
Networks on the Right-Hand Side: Relating Networks to Outcomes
|
Author(s):
|
Tyler McCormick*
|
Companies:
|
University of Washington
|
Keywords:
|
|
Abstract:
|
Scientists have long appreciated the relationship between the social environment and a multitude of individual behaviors. Understanding this relationship presents two statistical challenges: (i) interpretably representing network structure and (ii) linking local network structure to outcomes of interest. This talk explores these challenges in the context of multiview, continuous-time network data. We first present a latent space model for multiview networks, situations where multiple types of relations are observed for the same individuals. We then present preliminary work which develops a Bayesian sparse coding approach to capturing local structure in unstructured observational network data.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2015 program
|
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, 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.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.