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Mapas da transmutação : modelagem, propriedades estruturais, estimação e aplicações
(Universidade Federal de São Carlos, 2016-12-05)
Initially, we use the quadratic transmutation maps to compose a new probability
model: the transmuted log-logistic distribution. Transmutation maps are
a convenient way of constructing new distributions, in particular ...
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 ...
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 ...
Modelos COM-Poisson correlacionados
(Universidade Federal de São Carlos, 2019-04-23)
In this thesis two discrete distributions are proposed: Correlated COM-Poisson (CPC) and
Generalized partially correlated COM-Poisson (CPGPC). We have also proposed regression
models for the Generalized partially correlated ...
Modelos de difusão de inovação em grafos
(Universidade Federal de São Carlos, 2019-04-12)
Areas such as politics, economics and marketing are heavily influential in terms of information diffusion. For this reason, several branches of science have studied such phenomena in order to simulate and understand them ...
Cadeias estocásticas de memória ilimitada com aplicação na neurociência
(Universidade Federal de São Carlos, 2019-03-21)
Stochastic chains with unbounded memory are a natural generalization of Markov chains, in the sense that the transition probabilities may depend on the whole past. These process, introduced independently by Onicescu and ...
Degradation modeling for reliability analysis with time-dependent structure based on the inverse gaussian distribution
(Universidade Federal de São Carlos, 2017-04-07)
Conventional reliability analysis techniques are focused on the occurrence of failures over
time. However, in certain situations where the occurrence of failures is tiny or almost null, the
estimation of the quantities ...
GARMA models, a new perspective using Bayesian methods and transformations
(Universidade Federal de São Carlos, 2016-12-16)
Generalized autoregressive moving average (GARMA) models are
a class of models that was developed for extending the univariate
Gaussian ARMA time series model to a flexible observation-driven
model for non-Gaussian time ...
Bayesian and classical inference for the generalized gamma distribution and related models
(Universidade Federal de São Carlos, 2018-02-22)
The generalized gamma (GG) distribution is an important model that has proven to be
very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, ...
Controle de sistemas não-Markovianos.
(Universidade Federal de São Carlos, 2017-09-13)
In this thesis, we present a concrete methodology to calculate the epsilon-optimal controls for non-Markovian stochastic systems. A pathwise analysis and the use of the discretization structure proposed by Leão and Ohash ...