Efficient MCMC for Gibbs random fields using pre-computation

DOI10.1214/18-EJS1504zbMath1433.62086arXiv1710.04093OpenAlexW2963064464MaRDI QIDQ1711571

Aidan Boland, Nial Friel, Florian Maire

Publication date: 18 January 2019

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.04093

zbMATH Keywords

MCMCGibbs random fieldsexponential random graph models

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Bayesian inference (62F15)

Related Items (3)

Bayesian indirect inference for models with intractable normalizing functions ⋮ Finding our way in the dark: approximate MCMC for approximate Bayesian methods ⋮ Scalable Bayesian inference for the inverse temperature of a hidden Potts model

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