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Inferência em redes aleatórias com pesos discretos
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 04/04/2023)Random networks have been widely used to describe interactions between objects, including interpersonal relationships between individuals. One of the most important features of networks is the presence of communities, which ... -
Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/03/2023)In this undergraduate thesis, we propose a review of the Naive Bayes classifcation method applied to binary response variables, with a more in-depth formalization of the Gaussian Naive Bayes and Flexible Naive Bayes ... -
Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ... -
Inferência em grafos aleatórios exponenciais através de métodos MCMC
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 11/12/2020)In this work we study statistical inference methods for random graphs. In particular, we study the Exponential Random Graph Model and we study Bayesian estimator based on Markov chain Monte Carlo (MCMC) algorithm. We apply ... -
Um estudo estatístico sobre as redes de aeroportos no Brasil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 08/11/2021)In this work, we study the evolution of the Brazilian airport networks in order to describe their connectivity structure and to analyze if their structure changed during the pandemic caused by COVID-19. To this end, we ...