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Itens para a visualização no momento 11-20 of 21
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 ...
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 ...
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. ...
Modelagem de predição de crimes na região metropolitana de São Paulo
(Universidade Federal de São Carlos, 2023-12-13)
The issue of public security is a challenge for Brazilian society, and crime is a major concern for the most populous state in the country, São Paulo. It is always desirable for the public administration to model and predict ...
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 ...
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 ...
Scalable and interpretable kernel methods based on random Fourier features
(Universidade Federal de São Carlos, 2023-03-29)
Kernel methods are a class of statistical machine learning models based on positive semidefinite kernels, which serve as a measure of similarity between data features. Examples of kernel methods include kernel ridge ...
Diagnóstico e seleção de modelos com resposta binária e função de ligação assimétrica
(Universidade Federal de São Carlos, 2023-12-06)
For binary response variables, probit and logit link functions are widely used. However, when the data is imbalanced, traditional approaches may not be suitable. In this thesis, we consider the skew-probit link function ...