ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1505.06794
  4. Cited By
Optimal Bayesian estimation in stochastic block models

Optimal Bayesian estimation in stochastic block models

26 May 2015
D. Pati
A. Bhattacharya
ArXivPDFHTML

Papers citing "Optimal Bayesian estimation in stochastic block models"

16 / 16 papers shown
Title
Rate-optimal graphon estimation
Rate-optimal graphon estimation
Chao Gao
Yu Lu
Harrison H. Zhou
111
217
0
21 Oct 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black
  Vectors
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors
S. V. D. Pas
B. Kleijn
A. van der Vaart
64
169
0
01 Apr 2014
Bayesian linear regression with sparse priors
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
110
379
0
04 Mar 2014
Stochastic blockmodel approximation of a graphon: Theory and consistent
  estimation
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
E. Airoldi
Thiago B. Costa
Stanley H. Chan
118
191
0
07 Nov 2013
Posterior convergence rates for estimating large precision matrices
  using graphical models
Posterior convergence rates for estimating large precision matrices using graphical models
Sayantan Banerjee
S. Ghosal
70
60
0
12 Feb 2013
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
300
523
0
06 Dec 2012
Needles and Straw in a Haystack: Posterior concentration for possibly
  sparse sequences
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
I. Castillo
A. van der Vaart
78
251
0
06 Nov 2012
Pseudo-likelihood methods for community detection in large sparse
  networks
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini
Aiyou Chen
Peter J. Bickel
Elizaveta Levina
163
407
0
10 Jul 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
149
221
0
04 Jul 2012
Posterior contraction in sparse Bayesian factor models for massive
  covariance matrices
Posterior contraction in sparse Bayesian factor models for massive covariance matrices
D. Pati
A. Bhattacharya
Natesh S. Pillai
David B. Dunson
86
101
0
16 Jun 2012
Rates of contraction for posterior distributions in
  $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
Rates of contraction for posterior distributions in \boldsLr\bolds{L^r}\boldsLr-metrics, \bolds1≤r≤∞\bolds{1\le r\le\infty}\bolds1≤r≤∞
Evarist Giné
Richard Nickl
68
108
0
09 Mar 2012
Consistency of community detection in networks under degree-corrected
  stochastic block models
Consistency of community detection in networks under degree-corrected stochastic block models
Yunpeng Zhao
Elizaveta Levina
Ji Zhu
155
426
0
18 Oct 2011
Bernstein von Mises Theorems for Gaussian Regression with increasing
  number of regressors
Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors
D. Bontemps
98
74
0
07 Sep 2010
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
160
980
0
29 Dec 2009
Convergence rates of posterior distributions for noniid observations
Convergence rates of posterior distributions for noniid observations
S. Ghosal
A. van der Vaart
251
395
0
03 Aug 2007
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
320
2,117
0
30 May 2007
1