Statistical inference on random graphs and networks

Statistical inference on random graphs and networks

In this thesis we study two probabilistic models defined on graphs: the Stochastic Block model and the Exponential Random Graph. Therefore, this thesis is divided in two parts. In the first part, we introduce the Krichevsky-Trofimov estimator for the number of communities in the Stochastic Block Mod...

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Bibliographic Details
Main Author: Cerqueira, Andressa
Other Authors: Leonardi, Florencia Graciela
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2018
Subjects:
Algoritmo Backward and Forward
Algoritmo Coupling From the Past
Backward and Forward algorithm
Couping From the Past algorithm
Estimação
Estimation
Exponential random graph
Grafos aleatórios exponenciais
Krichevisky-Trofimov
Krichevsky-Trofimov
Modelo estocástico por blocos
Perfect simulation
Simulação perfeita
Stochastic block model
Online Access:http://www.teses.usp.br/teses/disponiveis/45/45133/tde-04042018-094802/

Internet

http://www.teses.usp.br/teses/disponiveis/45/45133/tde-04042018-094802/

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