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Um novo modelo de sobrevivência Bell-Inversa Gaussiana com fração de cura
(Universidade Federal de São Carlos, 2021-03-26)
In this work we propose a new survival model called the Bell-Inverse Gaussian cure rate.
We consider different activation schemes in which the number of factors $M$ has the Bell distribution
and the time of occurrence ...
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 de textos por meio de processos estocásticos na representação word2vec
(Universidade Federal de São Carlos, 2021-03-03)
Within the field of Natural Language Processing (NLP), the word2vec model has been extensively explored in the field of vector representation of words. It is a neural network that is based on the hypothesis that similar ...
Resultados para o modelo de rumor de Maki-Thompson em árvores
(Universidade Federal de São Carlos, 2021-04-20)
In this work, we study the Maki-Thompson rumor model on infinite homogeneous trees which is formulated as a continuous-times Markov chain. This model can be defined as a system of interacting particles representing the ...
Multivariate conditional density estimation with copulas
(Universidade Federal de São Carlos, 2021-09-29)
Most machine learning regression models only yield single point estimations for the label of a new observation. However, when dealing with multi-modal or asymmetric distributions, a single point estimate is not enough to ...
Full Bayesian Significance Test para dados de sobrevivência bivariados: seleção de modelos encaixados da cópula PVF
(Universidade Federal de São Carlos, 2021-06-28)
The investigation and modeling of the existing dependence in a set of random variables is a widely discussed topic in statistics. In this context, the use of copulas becomes interesting because it is a flexible approach ...
Distribuições discretas para duas observações inflacionadas
(Universidade Federal de São Carlos, 2021-07-30)
Count data is often found in many real applications and some observations may occur in the data set in an excessive amount. In many real problems it is quite common for the data set to contain excesses of zero and one ...
Análises Bayesiana para o modelo de regressão Birnbaum-Saunders com zeros ajustados
(Universidade Federal de São Carlos, 2021-08-11)
Modeling based on the Birnbaum-Saunders distribution has received considerable attention
in recent years. In this work we consider the reparametrized Birnbaum-Saunders
distribution with zero-adjusted (ZARBS) (SANTOS-NETO ...
Bandas de predição usando densidade condicional estimada e um modelo LDA com covariáveis
(Universidade Federal de São Carlos, 2021-10-15)
Machine learning methods are divided into two main groups: supervised and unsupervised
methods. In the first part of this work, we develop a method for creating prediction bands
that can be applied to supervised problems. ...
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 ...