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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 ...
Modelo poisson zero-modificado com efeito aleatório para dados longitudinais
(Universidade Federal de São Carlos, 2019-12-09)
In this work we present the Zero-Modified Poisson model with Normal random effect, and the Zero-Modified Poisson model with Generalized Log-Gamma random effect, which are extensions of the Zero-Modified Poisson model. Since ...
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 ...
Redes neurais para grafos e suas aplicações aos sistemas complexos
(Universidade Federal de São Carlos, 2022-04-08)
Complex systems are composed of several components that interact with each other. A natural
approach for these types of systems is to use mathematical graph abstraction. In different
contexts in the real world, it is ...
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 ...
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 ...
Modelo hierárquico Bayesiano não paramétrico aplicado em modelagem de tópicos
(Universidade Federal de São Carlos, 2024-02-19)
Given the growing need and importance of analyzing textual data in the field of artificial intelligence, models that can better understand human language and deal with unstructured data are increasingly relevant gains. In ...
Análise de agrupamentos para dados espectrais
(Universidade Federal de São Carlos, 2024-03-11)
Spectroscopy is the study that uses techniques to measure the spectrum of electromagnetic radiation, including visible light and radiofrequency, where we search for information such as chemical composition, temperature, ...
Melhorando a tomada de decisões na construção: Modelagem não paramétrica de atrasos induzidos pelo clima
(Universidade Federal de São Carlos, 2024-05-23)
Effective construction project management faces significant challenges due to frequent delays, many of which are influenced by climatic variables. Anticipating these delays is crucial, and although various methods based ...