- Research Grants
bachelor's at Licenciatura em Matemática from Universidade de São Paulo (2011). (Source: Lattes Curriculum)
The objective of this project is to study a spatial network model with set of vertices given by a locally finite set of R^d. Our goal is the construction of an infinite volume Gibbs measure for which the probability of observing a graph is based on the graph's statistics (triangles, stars, vertices degree) and it penalizes edges between nodes that are very far apart.
The main goal of this research project is the construction and study of perfect simulation algorithms for probabilistic networks. We will consider the problem of perfect simulation of Markov random fields taking values on a finite alphabet, both in the case of a fixed underlying graph as well as in the case of a random underlying graph. For the latter we will consider principally the ex...
In this research project we aim to study new statistical inference approaches for networks' analysis. In particular we focus on networks that exhibit community structure, that is, the nodes are organized into groups with similar connection patterns. We are interested in developing new statistical approaches applied to the study of a single network as well as for random samples of networks.
The main goal of this research project is the development of perfect simulation algorithms for Markov random fields defined on graphs, taking values on a finite alphabet. In order to achieve these goals, we will adapt some techniques from the literature and we will study the theoretical properties of the algorithms proposed. In particular we will focus our attention on the Coupling fo...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
(References retrieved automatically from State of São Paulo Research Institutions)
CERQUEIRA, Andressa. Inferência estatística para grafos aleatórios e redes. Tese (Doutorado) - Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (14/23526-0)