2 citations · 2 across the 7 of their papers we have counts for
6 papers · 1 filter
Normalized Likelihood Criteria for Model Selection in the Stochastic Block Model
Andressa Cerqueira, Felipe Baptistão
Estimating the number of communities is a fundamental problem in network analysis under the stochastic block model (SBM). In this paper, we study penalized estimators for this task…
Counting communities in weighted Stochastic Block Models via semidefinite programming
Deborah Oliveira, Andressa Cerqueira, Roberto Oliveira
We consider the problem of estimating the number of communities in a weighted balanced Stochastic Block Model. We construct hypothesis tests based on semidefinite programming and w…
Optimal recovery by maximum and integrated conditional likelihood in the general Stochastic Block Model
Andressa Cerqueira, Florencia Leonardi
In this paper, we obtain new results on the weak and strong consistency of the maximum and integrated conditional likelihood estimators for the community detection problem in the S…
Consistent model selection for the Degree Corrected Stochastic Blockmodel
Andressa Cerqueira, Sandro Gallo, Florencia Leonardi +1
The Degree Corrected Stochastic Block Model (DCSBM) was introduced by \cite{karrer2011stochastic} as a generalization of the stochastic block model in which vertices of the same co…
Graphical Construction of Spatial Gibbs Random Graphs
Andressa Cerqueira, Nancy L. Garcia
We consider a Random Graph Model on that incorporates the interplay between the statistics of the graph and the underlying space where the vertices are located. Ba…
Strong consistency of Krichevsky-Trofimov estimator for the number of communities in the Stochastic Block Model
Andressa Cerqueira, Florencia Leonardi
In this paper we introduce an estimator for the number of communities in the Stochastic Block Model (SBM), based on the maximization of a penalized version of the so-called Krichev…