Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1207.0865
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
Wenqing Su
Xiao Guo
Ying Yang
45
0
0
17 Jun 2024
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
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
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
Sihan Huang
Haolei Weng
Yang Feng
20
21
0
07 Dec 2020
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
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
30
21
0
16 Jul 2020
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
P. Barbillon
J. Chiquet
Timothée Tabouy
13
2
0
28 Jun 2019
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
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
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
15
12
0
18 Aug 2017
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
M. Schweinberger
41
15
0
24 Feb 2017
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
A. Zhang
Harrison H. Zhou
27
185
0
19 Jul 2015
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
D. Pati
A. Bhattacharya
30
7
0
26 May 2015
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
T. Tony Cai
Xiaodong Li
48
139
0
23 Apr 2014
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
59
18
0
11 Jun 2012
1