Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

Marcelo A. Pereyra; Nick Whiteley; Christophe Andrieu; Jean-Yves Tourneret

doi:10.1109/SSP.2014.6884590

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

Marcelo A. Pereyra, Nick Whiteley, Christophe Andrieu, Jean-Yves Tourneret

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2014 IEEE Workshop on Statistical Signal Processing (SSP)
Pages	121-124
Number of pages	4
ISBN (Electronic)	978-1-4799-4975-5
DOIs	https://doi.org/10.1109/SSP.2014.6884590
Publication status	Published - 2014

Keywords

Bayesian inference, Image segmentation, Intractable normalizing constants, Potts-Markov random field, Stochastic gradient Markov chain Monte Carlo

Access to Document

10.1109/SSP.2014.6884590

Cite this

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title = "Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm",

keywords = "Bayesian inference, Image segmentation, Intractable normalizing constants, Potts-Markov random field, Stochastic gradient Markov chain Monte Carlo",

author = "Pereyra, {Marcelo A.} and Nick Whiteley and Christophe Andrieu and Jean-Yves Tourneret",

year = "2014",

doi = "10.1109/SSP.2014.6884590",

language = "English",

pages = "121--124",

booktitle = "2014 IEEE Workshop on Statistical Signal Processing (SSP)",

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AU - Pereyra, Marcelo A.

AU - Whiteley, Nick

AU - Andrieu, Christophe

AU - Tourneret, Jean-Yves

PY - 2014

Y1 - 2014

KW - Bayesian inference, Image segmentation, Intractable normalizing constants, Potts-Markov random field, Stochastic gradient Markov chain Monte Carlo

U2 - 10.1109/SSP.2014.6884590

DO - 10.1109/SSP.2014.6884590

M3 - Conference contribution

SP - 121

EP - 124

BT - 2014 IEEE Workshop on Statistical Signal Processing (SSP)

ER -