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Modelos alternativos para classificação em dados desbalanceados
(Universidade Federal de São Carlos, 2023-08-11)
In binary classification, the most used method is logistic regression model. However, several authors indicate that this model is not suitable when the data are imbalanced; for this, different asymmetric link functions as ...
New families of linear and partially linear quantile regression models under reparameterized Marshall-Olkin distributions
(Universidade Federal de São Carlos, 2023-07-31)
In this dissertation, we propose families of linear and partially linear quantile regression models,
where the response variable follows a reparameterized Marshall-Olkin distribution with support
on the real line. This ...
Modelos estocásticos de transmissão para análises genéticas de características epidemiológicas
(Universidade Federal de São Carlos, 2023-08-01)
Epidemics can significantly affect animal production and generate large economic impacts.
Furthermore, current practices for treating and controlling infectious diseases in farmed animals
do not always show the desired ...
Uma abordagem bayesiana para avaliação de concordância entre dispositivos de medição de uma variável funcional
(Universidade Federal de São Carlos, 2023-09-15)
It is common in the industrial and clinical context to seek more precision, accurate, accessible and cheaper equipments. Therefore, it is important for these fields to have a way to compare the agreement of new devices ...
Bayesian spatial process models for activation patterns in transcranial magnetic stimulation mapping
(Universidade Federal de São Carlos, 2023-07-07)
In recent years, Spatial statistical models have been gaining rapid attention for solving problems in biological systems due to the improvement in spatial data collection. It has proven extremely important in unveiling ...
Modelo de regressão chances de sobrevivência proporcionais para dados discretos com presença de censura
(Universidade Federal de São Carlos, 2023-04-25)
Survival models, in their majority, consider continuous survival times. However, in several studies these times are discrete, and in some occasions, it is not advisable to use a continuous model to analyze discrete data. ...
Nova classe de modelos paramétricos para análise de sistemas reparáveis
(Universidade Federal de São Carlos, 2023-01-13)
The Arithimetic Reduction of Age (ARA) model class from Doyen e Gaudoin (2004) has been
widely used in the analysis of repairable systems, whose repair effect is expressed by an arithmetic
age reduction. However, the ...
Métodos Bayesianos para seleção de modelos de mistura de distribuições normais e t de Student assimétricas
(Universidade Federal de São Carlos, 2023-06-28)
In this work, we consider mixture models whose components of the mixture are modeled by the skew normal and skew t distributions. For the estimation of these skew mixtures models, we used a Bayesian approach, via Markov ...
Modelagem via redes neurais de dados de sobrevivência de longa duração com dispersão não observada
(Universidade Federal de São Carlos, 2023-12-08)
Traditional models in survival analysis assume that every subject will eventually experience the event of interest in the study, such as death or disease recurrence, so the survival function is said to be proper. Cure rate ...
Modelos de fração de cura com fragilidade inflacionado de zero sob diferentes esquemas de ativação
(Universidade Federal de São Carlos, 2023-08-22)
In this doctoral thesis, the proposed methodology is based on zero-inflated survival data to deal with situations where there is a fraction of inflated (or adjusted) zeros and cured cases considering different activation ...