Bayesian hierarchical model for multiplex networks that infers population hierarchical structure and individual multi-resolution clusters, supported by identifiability results and posterior consistency.
Detailed results reported in Section H.2 provide evidence that the Markov chains of Gibbs samplers under each choice ofp k have converged
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Bayesian Deep Generative Models for Multiplex Networks with Multiscale Overlapping Clusters
Bayesian hierarchical model for multiplex networks that infers population hierarchical structure and individual multi-resolution clusters, supported by identifiability results and posterior consistency.