3 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.ST2026
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
Jianwei Hu, Jingfei Zhang, Jianhua Guo +1
In this paper, we study limiting laws and consistent estimation criteria for the extreme eigenvalues in a spiked covariance model of dimension . Firstly, for fixed , we propo…
math.ST2024
Differentially private estimation in a class of directed network models
Lu Pan, Jianwei Hu, Peiyan Li
Although the theoretical properties in the model based on a differentially private bi-degree sequence have been derived, it is still lack of a unified theory for a general cl…