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Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, 2022-04-18)
Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...
Análise, seleção e agrupamento de características relevantes das equipes da NFL durante os anos de 2013-2016 e suas relações - um estudo de caso
(Universidade Federal de São Carlos, 2022-09-14)
On this work, the study of different NFL (National Football League) variables was proposed, with the main goal of analysing, selecting and clustering their characteristics and its correlations. Data on the official NFL ...
Inferência da conectividade neuronal e o modelo de Galves e Löcherbach
(Universidade Federal de São Carlos, 2022-09-16)
One of the most important issues in neuroscience is to understand the dynamics of animal behavior, that is, the joint action of large numbers of neurons, body parts, and the environment. The relationship between this ...
Análise do desempenho de jogadoras de Handebol do Campeonato Mundial Feminino Juvenil
(Universidade Federal de São Carlos, 2021-11-10)
Athlete performance analysis has become increasingly relevant for In different sports, handball is no different. To perform data classification cluster analysis is a great option. Will be used in this work, some grouping ...
Prevendo a popularidade de um post no Instagram via métodos de Machine Learning
(Universidade Federal de São Carlos, 2024-01-24)
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 ...
Métodos de detecção de fraude em cartões de crédito: um estudo comparativo
(Universidade Federal de São Carlos, 2022-04-14)
The arrival of the pandemic radically changed the consumption habits of goods and services, starting to occur almost exclusively in the virtual world, which in turn, in the context of fraud, has a greater number of loopholes ...
Modelo de mistura padrão com fragilidade gama: aplicação a dados de melanoma
(Universidade Federal de São Carlos, 2024-01-26)
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 ...
Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan
(Universidade Federal de São Carlos, 2024-02-02)
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 ...
Seleção de marcadores SNP: uma aplicação com diferentes metodologias
(Universidade Federal de São Carlos, 2020-09-25)
The quantity and complexity of generated data due to advances in genetic sequencing technologies has made statistical analysis an essential tool for their correct study and interpretation. However, there is still no agreement ...
Modelo de Séries Temporais Autorregressivo Periódico - PAR
(Universidade Federal de São Carlos, 2021-06-20)
This work presents the study of a type of time series model, called
of periodic autoregressive model, which emerged from the researches of Thomas and Fiering
(1962), according to Hipel and McLeod (1994). Its use is mainly ...