The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
50
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Statistical Learning and Data Mining
|
| Abstract - #303638 |
|
Title:
|
Statistical Inference on Networks
|
|
Author(s):
|
Peter Bickel*+
|
|
Companies:
|
University of California at Berkeley
|
|
Address:
|
UC Berkeley, Berkeley, CA, 94720,
|
|
Keywords:
|
unlabelled graphs,networks,inference,motifs,bootstrap ;
asymptotic ;
block models
|
|
Abstract:
|
We consider from the asymptotic point of view of Bickel and Chen (2009) a number of inferential problems on unlabelled and covariate labeled graphs.These will be selected from: 1.Fitting a parametric model using moment statistics, 2.Determining the order of a block model 3.Novel schemes for fitting block and degree corrected block models Selected applications will be presented.
|
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 2012 program
|
2012 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.