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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 ...
Uma abordagem estatística para a análise dos resultados das eleições presidenciais
(Universidade Federal de São Carlos, 2024-01-15)
Multiparty data has characteristics that make it compositional data such as a constant sum of components and a limited space known as simplex. Thus, the purpose of the work is to develop a methodology to analyze multi-party ...
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 ...
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 ...
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 ...