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Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels

Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

4 July 2012
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
ArXivPDFHTML

Papers citing "Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels"

7 / 7 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
29
0
0
17 Jun 2024
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Yucheng Liu
Xiaodong Li
30
0
0
08 Jun 2024
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
14
1
0
23 Aug 2023
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
22
19
0
16 Jul 2020
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
32
15
0
24 Feb 2017
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
46
140
0
23 Apr 2014
The Highest Dimensional Stochastic Blockmodel with a Regularized
  Estimator
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
51
18
0
11 Jun 2012
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