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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 ...
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 ...
Teoremas limite para variáveis aleatórias de Bernoulli dependentes
(Universidade Federal de São Carlos, 2023-03-22)
In this work, we consider a sequence of correlated Bernoulli variables whose probability of success for the current trial depends conditionally on previous trials. This conditional probability is given as a linear function ...
Seleção de covariância para o modelo grafo gaussiano via reversible jump
(Universidade Federal de São Carlos, 2023-02-24)
The purpose of the Graphical Gaussian model is to find the covariance structure that represents the relationship between random variables, whose joint distribution is a multivariate normal. This is a tool used to modeling ...
Reliability analysis of repairable systems considering unobserved heterogeneity and competing risks
(Universidade Federal de São Carlos, 2023-10-09)
In repairable systems, the failure process defined by the failure intensity function can be impacted by three crucial characteristics: the type of repair performed after the failures occur, the underlying cause of the ...
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 ...
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 ...
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. ...
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 ...