69 citations · 186 across the 20 of their papers we have counts for
23 papers
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…
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…
Population based change-point detection for the identification of homozygosity islands
Lucas Prates, Renan B Lemes, Tábita Hünemeier +1
In this paper, we propose a new method for offline change-point detection on some parameters of the distribution of a random vector. We introduce a penalized maximum likelihood app…
Model selection criteria for regression models with splines and the automatic localization of knots
Alex Rodrigo dos S. Sousa, Magno T. F. Severino, Florencia G. Leonardi
In this paper we propose a model selection approach to fit a regression model using splines with a variable number of knots. We introduce a penalized criterion to estimate the numb…
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions
Florencia Leonardi, Rodrigo R. S. Carvalho
We propose a penalized pseudo-likelihood criterion to estimate the graph of conditional dependencies in a discrete Markov random field that can be partially observed. We prove the…
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…