Abstract Details
Activity Number:
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558
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract #312895
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Title:
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On Estimation of Basic Neighborhood of Markov Random Fields
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Author(s):
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Zsolt Talata*+
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Companies:
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University of Kansas
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Keywords:
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Markov random field ;
likelihood ratio ;
Gibbs measure ;
model selection ;
information criterion
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Abstract:
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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.
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Authors who are presenting talks have a * after their name.
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