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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. ...
Equações diferenciais estocásticas e as estratégias de hedging no mercado de opções
(Universidade Federal de São Carlos, 2022-06-24)
The Stochastic Differential Equation models (SDEs) assume an important role in finances. The major part of these models try to help the investors with the risk management of the financial activities and they use SDEs for ...
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 ...
Modeling survival data based on a reparameterized weighted Lindley distribution
(Universidade Federal de São Carlos, 2022-06-24)
In this work, we propose different statistical modeling for survival data based on a reparameterized weighted Lindley distribution. Initially, we present this distribution and study its mathematical properties, maximum ...
Considerações e possíveis soluções para o problema da estimação do mínimo populacional com aplicações em dados de terremotos
(Universidade Federal de São Carlos, 2024-04-29)
A myriad of physical, biological and other phenomena are better modeled with semi-infinite distribution families, in which case not knowing the populational minimum becomes a hassle when performing parametric inference. ...
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 ...