174 citations · 415 across the 18 of their papers we have counts for
3 papers · 1 filter
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data
Jaewoo Park, Ick Hoon Jin, Michael Schweinberger
Doubly-intractable posterior distributions arise in many applications of statistics concerned with discrete and dependent data, including physics, spatial statistics, machine learn…
Large-scale estimation of random graph models with local dependence
Sergii Babkin, Jonathan Stewart, Xiaochen Long +1
A class of random graph models is considered, combining features of exponential-family models and latent structure models, with the goal of retaining the strengths of both of them…
Model-based clustering of large networks
Duy Q. Vu, David R. Hunter, Michael Schweinberger
We describe a network clustering framework, based on finite mixture models, that can be applied to discrete-valued networks with hundreds of thousands of nodes and billions of edge…