71 citations · 162 across the 14 of their papers we have counts for
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stat.ME2019
Spectral inference for large Stochastic Blockmodels with nodal covariates
Angelo Mele, Lingxin Hao, Joshua Cape +1
In many applications of network analysis, it is important to distinguish between observed and unobserved factors affecting network structure. To this end, we develop spectral estim…
stat.ME2019★ 41 cited
Inference for multiple heterogeneous networks with a common invariant subspace
Jesús Arroyo, Avanti Athreya, Joshua Cape +3
The development of models for multiple heterogeneous network data is of critical importance both in statistical network theory and across multiple application domains. Although sin…