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Seydou Keita

4 papers hereh-index 560 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • math.PR1

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedTwo-Sample Test for Stochastic Block Models via Maximum Entry-wise Deviation

2 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

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…

math.PR2023

Extreme eigenvalues of principal minors of random matrix with moment conditions

Jianwei Hu, Seydou Keita, Kang Fu

Let x1​,⋯,xn​ be a random sample of size n from a p-dimensional population distribution, where p=p(n)→∞. Consider a symmetric matrix $W=X^\top…

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…

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