Abstract Details
|
Activity Number:
|
558
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
IMS
|
|
Abstract #312895
|
|
|
Title:
|
On Estimation of Basic Neighborhood of Markov Random Fields
|
|
Author(s):
|
Zsolt Talata*+
|
|
Companies:
|
University of Kansas
|
|
Keywords:
|
Markov random field ;
likelihood ratio ;
Gibbs measure ;
model selection ;
information criterion
|
|
Abstract:
|
Markov random fields on d-dimensional integer lattice with finite state space are considered, and the problem of estimation of the basic neighborhood from a single realization observed in a finite region is addressed. The Optimal Likelihood Ratio (OLR) estimator is introduced. Its nearly linear computation complexity is showed, and a bound on the probability of the estimation error is proved which implies strong consistency.
|
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.