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math.ST2026
Minimax Synthesis of Network Mechanisms
Marios Papamichalis, Regina Ruane
A single observed network reflects several mechanisms at once: communities, hubs, and clustering coexist in one graph, each a different model. We treat the network as a combination…
math.ST2026
Evidence thresholds of collapsed structured block models
Marios Papamichalis, Regina Ruane
A stochastic block model explains a network by splitting its nodes into communities and a matrix of tie probabilities between them. Collapsing those probabilities out scores each s…
math.ST2026
Decision-Theoretic Robustness for Network Models
Marios Papamichalis, Regina Ruane, Simon Lunagomez +1
Bayesian network models (Erdos Renyi, stochastic block models, random dot product graphs, graphons) are widely used in neuroscience, epidemiology, and the social sciences, yet real…