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Estimating the granularity coefficient of a Potts-Markov random field
  within an MCMC algorithm

Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

23 July 2012
Marcelo Pereyra
N. Dobigeon
H. Batatia
J. Tourneret
ArXivPDFHTML

Papers citing "Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm"

7 / 7 papers shown
Title
Bayesian Learning in Undirected Graphical Models: Approximate MCMC
  algorithms
Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms
Iain Murray
Zoubin Ghahramani
86
115
0
11 Jul 2012
MCMC for doubly-intractable distributions
MCMC for doubly-intractable distributions
Iain Murray
Zoubin Ghahramani
D. MacKay
93
418
0
27 Jun 2012
Bayesian Parameter Estimation for Latent Markov Random Fields and Social
  Networks
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
R. Everitt
64
100
0
14 Mar 2012
Posterior Mean Super-resolution with a Causal Gaussian Markov Random
  Field Prior
Posterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior
Takayuki Katsuki
Akira Torii
Masato Inoue
52
30
0
26 Sep 2011
Approximate Bayesian Computational methods
Approximate Bayesian Computational methods
Jean-Michel Marin
Pierre Pudlo
Christian P. Robert
Robin J. Ryder
224
864
0
05 Jan 2011
Bayesian orthogonal component analysis for sparse representation
Bayesian orthogonal component analysis for sparse representation
N. Dobigeon
J. Tourneret
CML
75
55
0
31 Aug 2009
ABC likelihood-freee methods for model choice in Gibbs random fields
ABC likelihood-freee methods for model choice in Gibbs random fields
Aude Grelaud
Christian P. Robert
Jean-Michel Marin
F. Rodolphe
Jean-François Taly
180
167
0
17 Jul 2008
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