2 citations · 4 across the 5 of their papers we have counts for
5 papers
Hypothesis testing for general network models
Kang Fu, Jianwei Hu, Seydou Keita
The network data has attracted considerable attention in modern statistics. In research on complex network data, one key issue is finding its underlying connection structure given…
Hypothesis testing for homogenous of nodes in -models
Kang Fu, Jianwei Hu, Meng Sun
The -model has been extensively utilized to model degree heterogeneity in networks, wherein each node is assigned a unique parameter. In this article, we consider the hypothesis…
Extreme eigenvalues of principal minors of random matrix with moment conditions
Jianwei Hu, Seydou Keita, Kang Fu
Let be a random sample of size from a -dimensional population distribution, where . Consider a symmetric matrix $W=X^\top…
Two-Sample Test for Stochastic Block Models via the Largest Singular Value
Kang Fu, Jianwei Hu, Seydou Keita +1
The stochastic block model is widely used for detecting community structures in network data. However, the research interest of much literature focuses on the study of one sample o…
Two-Sample Test for Stochastic Block Models via Maximum Entry-wise Deviation
Kang Fu, Jianwei Hu, Seydou Keita +1
The stochastic block model is a popular tool for detecting community structures in network data. Detecting the difference between two community structures is an important issue for…