3 papers
stat.ME2026
Latent space models for networks with nodal multiplicative effects
Carlos Nosa, Juan Sosa
Latent space models represent network nodes as points in a geometric space, with connection probabilities determined by distances between latent positions under a fixed metric, typ…
stat.ME2024
Identifying Hierarchical Structures in Network Data
Pedro Regueiro, Abel RodrÃguez, Juan Sosa
In this paper, we introduce a hierarchical extension of the stochastic blockmodel to identify multilevel community structures in networks. We also present a Markov chain Monte Carl…
stat.ME2024
Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
Pedro Regueiro, Abel RodrÃguez, Juan Sosa
Stochastic variational Bayes algorithms have become very popular in the machine learning literature, particularly in the context of nonparametric Bayesian inference. These algorith…