Consistent estimation of the basic neighborhood of Markov random fields

I. Csiszár, Zsolt Talata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For Markov random fields with finite set of states, a modification of the Bayesian Information Criterion admits strongly consistent estimation of the smallest region that determines the conditional distributions. Phase transition or non-stationarity do not affect the result.

Original languageEnglish
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
Pages170
Number of pages1
Publication statusPublished - 2004
EventProceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States
Duration: Jun 27 2004Jul 2 2004

Other

OtherProceedings - 2004 IEEE International Symposium on Information Theory
CountryUnited States
CityChicago, IL
Period6/27/047/2/04

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Phase transitions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Csiszár, I., & Talata, Z. (2004). Consistent estimation of the basic neighborhood of Markov random fields. In IEEE International Symposium on Information Theory - Proceedings (pp. 170)

Consistent estimation of the basic neighborhood of Markov random fields. / Csiszár, I.; Talata, Zsolt.

IEEE International Symposium on Information Theory - Proceedings. 2004. p. 170.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Csiszár, I & Talata, Z 2004, Consistent estimation of the basic neighborhood of Markov random fields. in IEEE International Symposium on Information Theory - Proceedings. pp. 170, Proceedings - 2004 IEEE International Symposium on Information Theory, Chicago, IL, United States, 6/27/04.
Csiszár I, Talata Z. Consistent estimation of the basic neighborhood of Markov random fields. In IEEE International Symposium on Information Theory - Proceedings. 2004. p. 170
Csiszár, I. ; Talata, Zsolt. / Consistent estimation of the basic neighborhood of Markov random fields. IEEE International Symposium on Information Theory - Proceedings. 2004. pp. 170
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