2 citations · 4 across the 5 of their papers we have counts for
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stat.ME2024
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…
stat.ME2022★ 2 cited
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…
stat.ME2022★ 2 cited
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…