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.ST2025
Likelihood ratio tests in random graph models with increasing dimensions
Ting Yan, Yuanzhang Li, Jinfeng Xu +2
We explore the Wilks phenomena in two random graph models: the -model and the Bradley-Terry model. For two increasing dimensional null hypotheses, including a specified null $H…