30 citations · 84 across the 13 of their papers we have counts for
Showing 2017 · stat.COShow all
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stat.CO2017
Efficient MCMC for Gibbs Random Fields using pre-computation
Aidan Boland, Nial Friel, Florian Maire
Bayesian inference of Gibbs random fields (GRFs) is often referred to as a doubly intractable problem, since the likelihood function is intractable. The exploration of the posterio…
stat.CO2017★ 14 cited
Bayesian model selection for exponential random graph models via adjusted pseudolikelihoods
Lampros Bouranis, Nial Friel, Florian Maire
Models with intractable likelihood functions arise in areas including network analysis and spatial statistics, especially those involving Gibbs random fields. Posterior parameter e…