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Likelihood-based model selection for stochastic block models

Likelihood-based model selection for stochastic block models

6 February 2015
Y. X. R. Wang
Peter J. Bickel
ArXivPDFHTML

Papers citing "Likelihood-based model selection for stochastic block models"

20 / 20 papers shown
Title
A statistically consistent measure of Semantic Variability using Language Models
A statistically consistent measure of Semantic Variability using Language Models
Yi Liu
73
0
0
01 Feb 2025
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
Consistent model selection for the Degree Corrected Stochastic
  Blockmodel
Consistent model selection for the Degree Corrected Stochastic Blockmodel
Andressa Cerqueira
S. Gallo
Florencia Leonardi
C. Vera
14
2
0
07 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic
  Graphs
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Clement D Lee
Marco Battiston
21
0
0
18 Jan 2023
Distributed Community Detection in Large Networks
Distributed Community Detection in Large Networks
Shenmin Zhang
R. Song
Wenbin Lu
Ji Zhu
22
3
0
12 Mar 2022
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
27
12
0
06 Aug 2021
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
28
21
0
07 Dec 2020
Overlapping community detection in networks via sparse spectral
  decomposition
Overlapping community detection in networks via sparse spectral decomposition
Jesús Arroyo
Elizaveta Levina
17
4
0
20 Sep 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
35
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
36
5
0
02 Jun 2020
Edgeworth expansions for network moments
Edgeworth expansions for network moments
Yuan Zhang
Dong Xia
32
25
0
14 Apr 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
16
2
0
28 Jun 2019
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Jiashun Jin
Z. Ke
Shengming Luo
36
43
0
21 Apr 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
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
36
142
0
28 Feb 2018
Provable Estimation of the Number of Blocks in Block Models
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan
Purnamrita Sarkar
Xiuyuan Cheng
27
32
0
24 May 2017
Bayesian Community Detection
Bayesian Community Detection
S. V. D. Pas
A. van der Vaart
21
11
0
15 Aug 2016
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
21
73
0
25 Feb 2016
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
51
201
0
19 Dec 2012
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
71
220
0
04 Jul 2012
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