43 citations · 242 across the 46 of their papers we have counts for
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stat.CO2018
Bayesian variational inference for exponential random graph models
Linda S. L. Tan, Nial Friel
Deriving Bayesian inference for exponential random graph models (ERGMs) is a challenging "doubly intractable" problem as the normalizing constants of the likelihood and posterior d…
stat.ME2018
Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani
Nial Friel, Riccardo Rastelli
We present a discussion of the paper "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani. We believe that this paper contributes substantially t…
stat.CO2018★ 1 cited
Computationally efficient inference for latent position network models
Riccardo Rastelli, Florian Maire, Nial Friel
Latent position models are widely used for the analysis of networks in a variety of research fields. In fact, these models possess a number of desirable theoretical properties, and…