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math.ST2023
Model selection for Markov random fields on graphs under a mixing condition
Florencia Leonardi, Magno T. F Severino
In this work, we propose a global model selection criterion to estimate the graph of conditional dependencies of a random vector based on a finite sample. By global criterion, we m…
math.ST2023
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…