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Modelo de predição para dados desbalanceados utilizando informações de financiamentos de veículos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/03/2023)For the statistics thesis project, a model adjustment is proposed for unbalanced data, using vehicle financing information, with the response variable being dichotomous, divided into defaulters and non-defaulters. ... -
Máquinas de vetores suporte com aplicação em classificação de crédito
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/03/2023)The credit granting represents one of the products with the highest profitability within a financial institution. However, to ensure profit, institutions must know to whom they lend their capital. In this scenario, a ... -
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 ... -
Previsão probabilística dos resultados da copa do mundo de 2022 usando uma abordagem bayesiana
(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 ... -
Análise de séries temporais multivariadas via Wavelet
(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 ... -
Feminicídio antes e durante a pandemia
(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. ... -
Métodos de colapsagem de variantes raras para mapeamento de QTLs
(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 ... -
Distribuição da estatística de Wald em amostras finitas para modelos GAMLSS paramétricos
(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 ... -
Um estudo do número de inscrições e dos inscritos no ENEM no período de 2013 a 2022
(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 ... -
Modelos de regressão defeituosos zero ajustados aplicados a dados de risco de crédito
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/08/2023)With the increase in consumption of goods, services, and credit granting, it becomes necessary to control the risk of the process. This measure aims to prevent a possible default rate higher than what financial institutions ... -
Estudo da prevalência de transtornos mentais comuns via métodos de classificação
(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 ... -
Long and short por cointegração aplicado ao mercado acionário brasileiro
(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 ... -
Comparação de penetrômetros e identificação de fatores na resistência mecânica do solo à penetração via modelos mistos
(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 ... -
Seleção estatística de árvores de contexto
(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
(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 ... -
Análise e previsão de séries temporais via Facebook Prophet
(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 ... -
Utilização de algoritmos de classificação para diagnóstico de diabetes
(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 ... -
Estimação, seleção e predição de redes de neurônios estocásticos com memória de alcance variável
(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 ... -
Modelo de classificação para dados desbalanceados: método SMOTE e variantes
(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
(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 ...