JSM 2012 Home

JSM 2012 Online Program

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: 39
Type: Contributed
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #305234
Title: Inference of Network Summary Statistics Through Network Denoising
Author(s): Prakash Balachandran*+ and Edoardo M Airoldi and Eric D Kolaczyk
Companies: Boston University and Harvard University and Boston University
Address: 111 Cummington Street, Boston, MA, 02215, United States
Keywords: Spectral Theory ; Signal Processing ; Statistical Inference ; Edge Noise ; Concentration Inequalities

Consider observing an undirected network that is "noisy," in the sense that there are Type I and Type II errors in the observation of edges. Such errors can arise, for example, in the context of inferring gene regulatory networks in genomics or functional connectivity networks in neuroscience. In such circumstances, given a single observed network, to what extent are summary statistics for that network representative of their analogues for the true underlying network? Can we infer such statistics more accurately by taking into account the noise in the observed network edges? Using spectral theory, we answer both of these questions. In particular, we develop a spectral-based methodology to `denoise' the observed network data and produce more accurate inference of the summary statistics of the true network. We provide examples, both synthetic and real, and present concentration type inequalities for confidence of the reconstruction in a particular basis.

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.