Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes

Fuente: arXiv
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Hauptverfasser: Hardouin, Cécile, Guyon, Xavier
Format: Preprint
Veröffentlicht: 2025
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author Hardouin, Cécile
Guyon, Xavier
author_facet Hardouin, Cécile
Guyon, Xavier
contents This paper presents different recursive formulas for computing the marginals and the normalizing constant of a Gibbs distribution $π$: The common thread is the use of the underlying Markov properties of such processes. The procedures are illustrated with several examples, particularly the Ising model.
format Preprint
id arxiv_https___arxiv_org_abs_2511_04298
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes
Hardouin, Cécile
Guyon, Xavier
Probability
Methodology
This paper presents different recursive formulas for computing the marginals and the normalizing constant of a Gibbs distribution $π$: The common thread is the use of the underlying Markov properties of such processes. The procedures are illustrated with several examples, particularly the Ising model.
title Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes
topic Probability
Methodology
url https://arxiv.org/abs/2511.04298