Submissões recentes

  • Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan 

    Ferreira Junior, Luis Roberto (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)
    We explore the logist regression model, estimating its parameters through maximum likelihood and Bayesian estimators. We use mixtures of distributions for 𝐾 = 1 and 2 components. The Hamiltonian Monte Carlo implemented ...
  • Modelo de classificação para dados desbalanceados: método SMOTE e variantes 

    Nora, Andrielle Couto (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)
    Often, in classification models, we encounter databases that have highly imbalanced classes, such as: rare disease diagnostic data, manufacturing defects, fraudulent transactions, etc. Training a model on a dataset with ...
  • Negrifeminicídio: O feminicídio de mulheres negras no estado de São Paulo 

    Carvalho, Alicia Scordamaia de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/01/0022)
    Violence against women and racism are extremely important issues that must be addressed with great care and seriousness. In this work, they will be presented together: the violent deaths of white and black women and their ...
  • Análise e previsão de séries temporais via Facebook Prophet 

    Borges, Mateus Penteado (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)
    Forecasting is an estimate or projection of what may happen in the future based on information and data available from the past and present. In other words, it is an attempt to make an informed guess about what is likely ...
  • Long and short por cointegração aplicado ao mercado acionário brasileiro 

    Cardoso, Clézio Lopes (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)
    In this article, we conduct a detailed analysis of the long and short investment strategy with cointegration in the Brazilian stock market. We explore the correlation between pairs of stocks and propose a trading approach ...
  • Utilização de algoritmos de classificação para diagnóstico de diabetes 

    Oliveira, Larissa de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/02/2024)
    The undergraduate thesis consists of the study of binary classification algorithms for diagnosing diabetes based on clinical data and physical activity data. For this purpose, we will accomplish a statistical and conceptual ...
  • Estudo da prevalência de transtornos mentais comuns via métodos de classificação 

    Martinez, Giulia Molina (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/02/2024)
    The present undergraduate thesis focuses on the study of the association between specific variables and the diagnosis of common mental disorders. To achieve this goal, we examined classification methods, namely decision ...
  • Estimação, seleção e predição de redes de neurônios estocásticos com memória de alcance variável 

    Pacola, Matheus Elias (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)
    The nervous system is subjected to various sources of noise. Neuronal activity recordings reveal that part of this noise is due to electrical firings occurring spontaneously and irregularly, with variations even when the ...
  • Seleção estatística de árvores de contexto 

    Almeida, Isadora Nascimento de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/01/2024)
    Context trees are models that parsimoniously generalize Markovian models. These models were introduced by Jorma Rissanen in 1983, as an efficient tool in Information Theory. Since then, these models have been widely used ...
  • Classificação binária de dados financeiros em problemas com classes desbalanceadas 

    Moura, Lucas Fernando (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)
    In order to mitigate the risks and uncertainties associated with credit granting, financial institutions are constantly exploring methods to enhance the credit evaluation system. In the same context, the growth in credit ...
  • Um estudo do número de inscrições e dos inscritos no ENEM no período de 2013 a 2022 

    Arantes, Gabriela de Oliveira (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/01/2024)
    The Instituto Nacional de Estudos e Pesquisas Educacionais An´ısio Teixeira (INEP) is a federal agency linked to the Minist´erio da Educa¸c˜ao (MEC) and aims to promote educational actions in Brazil. It plays a fundamental ...
  • Modelo de mistura padrão com fragilidade gama: aplicação a dados de melanoma 

    Peruchi, Pamela Cristina (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/01/2024)
    Cancer is a malignant disease that can affect several organs. When it spreads throughout the body and reaches other organs, it is called metastasis, and this is the leading cause of cancer-related death. Although skin ...
  • Métodos de colapsagem de variantes raras para mapeamento de QTLs 

    João, Lara Midena (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)
    The mapping of regions in the genome associated with quantitative traits (QTLs) through SNP-type genetic markers has been one of the central problems in Genetics and Molecular Biology and several methods of detection and ...
  • Comparação de penetrômetros e identificação de fatores na resistência mecânica do solo à penetração via modelos mistos 

    Ribeiro, Leonardo (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/01/2024)
    It is common knowledge that one of the main sources of the Brazilian economy is attributed to agriculture. In Brazil, agriculture is a competitive field, being a very rich and diversified economic sector, as well as a ...
  • Prevendo a popularidade de um post no Instagram via métodos de Machine Learning 

    Silva, Marcos Costa da (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/01/2024)
    This work was motivated by the current technological scenario in which we live, where people are increasingly connected on social networks, generating a vast amount of data daily. If used appropriately, these data can ...
  • Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros 

    Sturaro, Rafael Setti Riedel (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/08/2023)
    Many binary classification problems exhibit unbalanced classes, which consists of one of the two classes being significantly more numerous than the other. The minority class is the least representative, with far fewer ...
  • Feminicídio antes e durante a pandemia 

    Ikeda, Beatriz Luri Yasuda (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)
    A lot of studies are done to know the effects of coronavirus pandemic in several society aspects, like colateral effects of the disease. One import social aspect is the violence against women wich many times leads to death. ...
  • Análise de séries temporais multivariadas via Wavelet 

    Mori, Matheus Kengi (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)
    After the mid-1980s, wavelet theory quickly spread to many fields. Although wavelet analysis has the ability to decompose data into various time scales and to deal with nonstationary data and time location, this methodology ...
  • Previsão probabilística dos resultados da copa do mundo de 2022 usando uma abordagem bayesiana 

    Moribayashi, Rodrigo Hideki (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)
    This work aims to build and evaluate a predictive statistical model for football matches. To achieve this, we consider a Bayesian approach in a new model inspired by Lee (1997). The inspiration comes from two points ...
  • Distribuição da estatística de Wald em amostras finitas para modelos GAMLSS paramétricos 

    Santos, Gabriel Cezar Lopes (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)
    In parametric regression models, we often want to test hypotheses regarding the values of their parameters. Specifically, when we depart from the general linear model (random errors with a Normal distribution), the Wald ...

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