2 papers
stat.ME2026
From Simple to Composite Perturbations: A Unified Decomposition Framework for Stochastic Block Models
Jianwei Hu, Ding Chen, Ji Zhu
Statistical inference for stochastic block models typically relies on the spectrum of the normalized adjacency matrix $\A^*$. In practice, the true probability matrix …
math.ST2022
Wilks' theorems in the -model
Ting Yan, Yuanzhang Li, Jinfeng Xu +2
Likelihood ratio tests and the Wilks theorems have been pivotal in statistics but have rarely been explored in network models with an increasing dimension. We are concerned here wi…