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Modelagem de partição bayesiana para dados de sobrevivência de longa duração
(Universidade Federal de São Carlos, 2009-11-27)
In this work we present a bayesian approach for the survival model with cure rate in the presence of covariates. In this perspective, the modelling is a direct extension of the long-term model of (Chen et al., 1999). This ...
Aspectos práticos da estimação do modelo de mistura via processo de Dirichlet
(Universidade Federal de São Carlos, 2013-04-03)
We review the Dirichlet process mixture model and investigate its performance as a classification method. The first aspect considered is its sensibility to the choice of location parameter of the base distribution. The ...
Uma abordagem bayesiana para análise de fraude de subscrição em telecomunicações
(Universidade Federal de São Carlos, 2006-06-09)
Modelos de regressão PLS com erros heteroscedásticos
(Universidade Federal de São Carlos, 2010-01-26)
Two problems related to Partial Least Squares method are considered in this work. Heteroscedastic errors and an asymmetrical error distribution. In the _rst part of this work a methodology is developed which allows, based ...
Distribuição normal assimétrica para dados de expressão gênica
(Universidade Federal de São Carlos, 2009-04-17)
Microarrays technologies are used to measure the expression levels of a large amount of genes or fragments of genes simultaneously in diferent situations. This technology is useful to determine genes that are responsible ...
Modelos de volatilidade estatística
(Universidade Federal de São Carlos, 2008-08-22)
In the financial market usually notices are taken of the shares
sequentially over the time in order to characterize them a time
series. However, the major interest is to forecast the behavior of these shares. Motivated by ...
Modelagem de dados de sobrevivência via modelo de risco logístico generalizado
(Universidade Federal de São Carlos, 2005-03-30)
The modeling of data of survival with the presence of covariáveis by means of the risk function
has been each used time more had the easiness of interpretation One of the examples most important
of risk models is the model ...
Inferência bayesiana para teste disgnóstico.
(Universidade Federal de São Carlos, 2004-03-05)
The simpler screening tests applied to detect disease instead of the more elaborated, usually result in the risk of incorrect diagnostic. However, these tests are only useful when the risks of misclassifications are known ...
Regiões de incerteza para a curva ROC em testes diagnósticos
(Universidade Federal de São Carlos, 2009-03-03)
Diagnostic tests are methods capable of indicating the presence or absence of a disease, with a probability of error. The performance of a diagnostic test can be verified by some indicator, as: the specificity, the sensitivity ...
Introdução ao controle estatístico de processo on-line
(Universidade Federal de São Carlos, 2011-04-07)