2 citations · 3 across the 2 of their papers we have counts for
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stat.CO2021★ 2 cited
Statistical Network Analysis with Bergm
Alberto Caimo, Lampros Bouranis, Robert Krause +1
Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) emerge…
stat.CO2017★ 1 cited
Bergm: Bayesian exponential random graph models in R
Alberto Caimo, Nial Friel
The Bergm package provides a comprehensive framework for Bayesian inference using Markov chain Monte Carlo (MCMC) algorithms. It can also supply graphical Bayesian goodness-of-fit…
stat.CO2015
Bayesian computational algorithms for social network analysis
Alberto Caimo, Isabella Gollini
In this chapter we review some of the most recent computational advances in the rapidly expanding field of statistical social network analysis using the R open-source software. In…