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Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras
(Universidade Federal de São Carlos, 2020-04-27)
The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...
Modelos de riscos competitivos no estudo de evasão discente
(Universidade Federal de São Carlos, 2020-02-11)
Dropout is a problem faced by public and private universities. Therefore, the motivation of
this work is to investigate the characteristics of students enrolled in a regular undergraduate
course and verify which one is ...
Modelos de sobrevivência bivariados baseados na cópula PVF
(Universidade Federal de São Carlos, 2020-03-13)
An alternative developed to study associations among multivariate survival times is the use of
models based on copula functions.
In this work, we use the survival model derived from the PVF copula, based on the Power
Variance ...
Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process
(Universidade Federal de São Carlos, 2019-08-30)
In this thesis, the main objective is to study certain aspects of modeling failure time data of repairable systems under a competing risks framework. We consider two different models and propose more efficient Bayesian ...
Método Zero-Variance para Monte Carlo Hamiltoniano aplicado a modelos GARCH univariados e multivariados
(Universidade Federal de São Carlos, 2021-05-13)
This PhD work develops, compares and applies Monte Carlo Markov Chains (MCMC) methods for parameter estimation in univariate and multivariate GJR-GARCH models.
Specifically, the following problems are addressed: (i) ...
Análise bayesiana de dados funcionais com o uso de processo Gaussiano e metanálise: uma aplicação para a marcha humana
(Universidade Federal de São Carlos, 2019-05-02)
The term "functional data" arised to accommodate situations in which each observation can be naturally interpreted as a function. These situations have become increasingly common with the availability of measuring instruments ...
Bayesian variable selection using data driven reversible jump: an application to schizophrenia data
(Universidade Federal de São Carlos, 2021-12-17)
Symptom based diagnosis are known to be limited specially concerning complex disorders such as schizophrenia. Modern attempts in providing predictive risk for such disease, to assist existing diagnosis tools, integrate ...