3 papers
stat.ME2026
Predictive Subsampling for Scalable Inference in Networks
Arpan Kumar, Minh Tang, Srijan Sengupta
Current methods for statistical inference in networks often encounter substantial computational bottlenecks when applied to the massive network datasets that are increasingly commo…
stat.ME2025
A Unified Framework for Community Detection and Model Selection in Blockmodels
Subhankar Bhadra, Minh Tang, Srijan Sengupta
Blockmodels are a foundational tool for modeling community structure in networks, with the stochastic blockmodel (SBM), degree-corrected blockmodel (DCBM), and popularity-adjusted…
math.ST2025
Eigenvector fluctuations and limit results for random graphs with infinite rank kernels
Minh Tang, Joshua R. Cape
This paper systematically studies the behavior of the leading eigenvectors for independent edge undirected random graphs generated from a general latent position model whose link f…