Estatística - Es: Recent submissions
Itens para a visualização no momento 1-20 of 63
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Um estudo de modelos de riscos competitivos em análise de sobrevivência
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 23/08/2023)Statistical analyzes that involve recording times and the occurrence of one or more events of interest are known as survival or reliability analysis. When analyzing data sets of this nature, one of the objectives is to ... -
Uma análise de regressão logística usando componentes principais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 25/01/2024)In this Bachelors dissertation we studied, in the context of logistic regression models, the case in which the number of covariables is large and the covariables are correlated. In this situation, we use the principal ... -
Testes múltiplos para comparação de dados funcionais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/03/2023)The recording of human motion is an essential requirement for biomechanical studies aimed at understanding normal and altered movement patterns to propose preventive or rehabilitation programs. In these studies, the analysis ... -
Uso de cadeias de Markov para identificar atribuições em mídias digitais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/09/2022)With the advancement of digital marketing and the rise of new paid media channels for running campaigns and ads aimed at selling products, many advertisers question the use of media that do not directly lead to conversions, ... -
Reconhecimento de entidades nomeadas aplicado em prontuários médicos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/09/2022)A named entity is a real-world object, such as a person (e.g. Alan Turing), a location (e.g. London), or an organization (e.g. UFSCar). Named Entity Recognition (NER) is a subarea of Natural Language Processing (NLP) whose ... -
Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan
(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
(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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Modelo de mistura padrão com fragilidade gama: aplicação a dados de melanoma
(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
(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
(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
(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 ...