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Pairwise and uniformly hidden markov fields

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Résumé

In Hidden Markov Fields (HMF) models there are two random fields: the hidden Markov field X and the observed field Y. In Pairwise Markov Fields (PMF) models one directly assumes the Markovianity of the couple (X, Y). PMF are more general than HMF; in fact, in PMF X is not necessarily Markovian. The aim of the paper is to provide some necessary and sufficient conditions under which PMF are HMF. We introduce the notion of "uniformly" HMF (UHMF) and we provide a general condition under which a PMF is an UHMF. Some interest of the presented results in the frame of Triplet Markov Fields (TMF) models, in which a third auxiliary random field is added and one considers the Markovianity of (X, U, Y), is also briefly discussed.

langue originaleAnglais
titreComputational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008
Pages193-196
Nombre de pages4
Les DOIs
étatPublié - 1 déc. 2009
Evénement6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 - Hersonissos, Crete, Grcce
Durée: 25 sept. 200830 sept. 2008

Série de publications

NomAIP Conference Proceedings
Volume1148 2
ISSN (imprimé)0094-243X
ISSN (Electronique)1551-7616

Une conférence

Une conférence6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008
Pays/TerritoireGrcce
La villeHersonissos, Crete
période25/09/0830/09/08

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