30 citations · 84 across the 13 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
stat.CO2015★ 30 cited
Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution
Lampros Bouranis, Nial Friel, Florian Maire
Exponential random graph models are an important tool in the statistical analysis of data. However, Bayesian parameter estimation for these models is extremely challenging, since e…
stat.ME2015★ 3 cited
Light and Widely Applicable MCMC: Approximate Bayesian Inference for Large Datasets
Florian Maire, Nial Friel, Pierre Alquier
Light and Widely Applicable (LWA-) MCMC is a novel approximation of the Metropolis-Hastings kernel targeting a posterior distribution defined on a large number of observations. Ins…