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In this paper, a noisy version of the stochastic block model (NSBM) is introduced and we investigate the three following statistical inferences in this model: estimation of the model parameters, clustering of the nodes and identification of the underlying graph.
Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data
Mariadassou, M. and Tabouy, T. (2019) · 1903
Earlier work this paper cites.
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Bickel, P., Choi, D., Chang, X., and Zhang, H. (2013) · 1943
Earlier work this paper cites.
Maximum likelihood from incomplete data via the EM algorithm
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977) · 1977
Earlier work this paper cites.
Plots of P-values to evaluate many tests simultaneously
Schweder, T. and Spjøtvoll, E. (1982) · 1982
Earlier work this paper cites.
Stochastic blockmodels: First steps
Holland, P., Laskey, K., and Leinhardt, S. (1983) · 1983
Earlier work this paper cites.
On the convergence properties of the em algorithm
Wu, C. F. J. (1983) · 1983
Earlier work this paper cites.
The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
Massart, P. (1990) · 1990
Earlier work this paper cites.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
Earlier work this paper cites.
Graphical models
Lauritzen, S. L. (1996) · 1996
Earlier work this paper cites.
Assessing a mixture model for clustering with the integrated completed likelihood
Biernacki, C., Celeux, G., and Govaert, G. (2000) · 2000
Earlier work this paper cites.
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Earlier work this paper cites.
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Efron, B., Tibshirani, R., Storey, J. D., and Tusher, V. (2001) · 2001
Earlier work this paper cites.
Estimation and prediction for stochastic blockstructures
Nowicki, K. and Snijders, T. A. B. (2001) · 2001
Earlier work this paper cites.
A direct approach to false discovery rates
Storey, J. D. (2002) · 2002
Earlier work this paper cites.
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Gaussian graphical model estimation with false discovery rate control
Liu, W. (2013) · 2013
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On spike and slab empirical Bayes multiple testing
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