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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"

21 / 21 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
45
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
46
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
37
1
0
23 Aug 2023
Efficient preconditioned stochastic gradient descent for estimation in
  latent variable models
Efficient preconditioned stochastic gradient descent for estimation in latent variable models
C. Baey
Maud Delattre
E. Kuhn
Jean-Benoist Léger
Sarah Lemler
14
4
0
22 Jun 2023
Spectral clustering via adaptive layer aggregation for multi-layer
  networks
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang
Haolei Weng
Yang Feng
20
21
0
07 Dec 2020
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang
Jingfei Zhang
Binghui Liu
Ji Zhu
Jianhua Guo
24
25
0
01 Nov 2020
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
30
21
0
16 Jul 2020
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
31
5
0
02 Jun 2020
missSBM: An R Package for Handling Missing Values in the Stochastic
  Block Model
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
P. Barbillon
J. Chiquet
Timothée Tabouy
13
2
0
28 Jun 2019
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
17
24
0
10 Jul 2018
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
20
247
0
16 Sep 2017
Two provably consistent divide and conquer clustering algorithms for
  large networks
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
15
12
0
18 Aug 2017
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
20
204
0
09 May 2017
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
41
15
0
24 Feb 2017
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
14
4,705
0
04 Jan 2016
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
27
185
0
19 Jul 2015
Community detection in multi-relational data with restricted multi-layer
  stochastic blockmodel
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel
Subhadeep Paul
Yuguo Chen
25
94
0
08 Jun 2015
Optimal Bayesian estimation in stochastic block models
Optimal Bayesian estimation in stochastic block models
D. Pati
A. Bhattacharya
30
7
0
26 May 2015
Empirical Bayes Estimation for the Stochastic Blockmodel
Empirical Bayes Estimation for the Stochastic Blockmodel
Shakira Suwan
Dominic S. Lee
Runze Tang
D. Sussman
M. Tang
Carey E. Priebe
35
22
0
23 May 2014
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
48
139
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
59
18
0
11 Jun 2012
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