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An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference

An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference

10 May 2023
Joshua Agterberg
Joshua Cape
ArXivPDFHTML

Papers citing "An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference"

6 / 6 papers shown
Title
Limit Results for Estimation of Connectivity Matrix in Multi-layer
  Stochastic Block Models
Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models
Wenqing Su
Xiao Guo
Ying Yang
47
0
0
17 Jun 2024
Community detection using low-dimensional network embedding algorithms
Community detection using low-dimensional network embedding algorithms
Aman Barot
S. Bhamidi
Souvik Dhara
6
8
0
04 Nov 2021
Bias-adjusted spectral clustering in multi-layer stochastic block models
Bias-adjusted spectral clustering in multi-layer stochastic block models
Jing Lei
K. Lin
35
47
0
18 Mar 2020
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Joshua Cape
M. Tang
Carey E. Priebe
28
48
0
01 Feb 2018
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
65
220
0
04 Jul 2012
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
128
976
0
29 Dec 2009
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