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Análise teórica e computacional de processos estocásticos inspirados em sistemas biológicos.
(Universidade Federal de São Carlos, 2020-01-06)
The aim of this work is to present two methodologies based on the theoretical and computational analysis of continuous time stochastic processes inspired by biological systems, whose dynamics are influenced by the stochastic ...
Métodos de estimação em modelos de efeitos mistos não lineares de caudas pesadas
(Universidade Federal de São Carlos, 2019-12-05)
Parameter estimation in nonlinear mixed-effects models is often challenging. In this thesis,
a comparison of estimation methods for these models is proposed under a frequentist
approach. In the first study, a comparison ...
Conditional independence testing, two sample comparison and density estimation using neural networks
(Universidade Federal de São Carlos, 2020-08-03)
Given the vast amount of data available nowadays and the rapid increase of computational processing power, the field of machine learning and the so called algorithmic modeling have seen a recent surge in its popularity and ...
Modelos de Lévy de atividade infinita
(Universidade Federal de São Carlos, 2020-06-12)
In this work, we present a class of pure jump Lévy processes A, with internal filtration and
Itô-Lévy decomposition and we established an explicit forms for martingale representation,
main component of our process. ...
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH
(Universidade Federal de São Carlos, 2019-04-26)
One of the most important informations in financial market is variability of an asset. Several
models have been proposed in literature with a view of to evaluate this phenomenon. Among
them we have the GARCH models. This ...
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...
Contribuições em modelos de regressão com erro de medida multiplicativo
(Universidade Federal de São Carlos, 2016-02-04)
In regression models in which a covariate is measured with error, it is common
to use structures that correlate the observed covariate with the true non-observed
covariate. Such structures are usually additive or ...
Modelos não lineares assimétricos com efeitos mistos
(Universidade Federal de São Carlos, 2019-08-02)
This work aims to develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions, in order to avoid the sensitivity in the ...
Modeling based on a reparameterized Birnbaum-Saunders distribution for analysis of survival data
(Universidade Federal de São Carlos, 2017-01-09)
In this thesis we propose models based on a reparameterized Birnbaum-Saunder (BS) distribution
introduced by Santos-Neto et al. (2012) and Santos-Neto et al. (2014), to analyze survival data.
Initially we introduce the ...
Classe de modelos de fragilidade com efeito do acúmulo de reparos em múltiplos sistemas reparáveis
(Universidade Federal de São Carlos, 2019-12-13)
In repairable systems, a fundamental aspect to be considered is predict the reliability of the systems being studied. However, the standard methods used to analyze reparable system data ignore the cumulative effect of ...