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Modelo de mistura com número de componentes desconhecido: estimação via método split-merge
(Universidade Federal de São Carlos, 2009-11-30)
We propose the split-merge MCMC and birth-split-merge MCMC algorithms to analyse mixture models with an unknown number of components. The strategy for splitting is based on data and posterior distribution. Allocation ...
Inferência bayesiana para o tamanho de uma população fechada com erros de registros de dados amostrais
(Universidade Federal de São Carlos, 2008-06-12)
In this dissertation we determine maximum likelihood and bayesian estimates of the size of a closed population, from two lists of data of elements of the population. It has been supposed that the registers of the individual ...
Dados de sobrevivência multivariados na presença de covariáveis e observações censuradas: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2010-03-04)
In this work, we introduce a Bayesian Analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different frailties or latent variables are considered to capture the correlation ...
Modelo de mistura padrão de longa duração com censura uniforme-exponencial
(Universidade Federal de São Carlos, 2010-03-25)
In survival data analysis it is common the occurrence of a large number of individuals to the right. This fact can indicate that, in a fraction of the individuals the event of interest will never happen, in other words, a ...
Modelos de sobrevivência na presença de eventos recorrentes e longa duração
(Universidade Federal de São Carlos, 2010-03-05)
In this thesis it is proposed to analyze recurrent event data, recurrent event data with cure fraction and recurrent event data with censoring and competing causes. For the recurrent event data analysis it is proposed a ...
Modelo de mistura padrão com tempo de falha exponencial e censura informativa
(Universidade Federal de São Carlos, 2010-06-25)
In this work we consider the long-term survival model introduced by Berkson & Gage (1952), for modeling survival data of nonhomogeneous populations, where a subpopulation does not present the event of interest, despite a ...
Modelos de sobrevivência bivariados baseados na cópula FGM : uma abordagem bayesiana
(Universidade Federal de São Carlos, 2012-02-07)
In this work we present a Bayesian analysis for bivariate survival data in the presence of a covariate and censored observations. We propose a bivariate distribution for the bivariate survival times based on the ...
Parametric and semi-parametric cure rate models with spatial frailties for interval-censored data
(Universidade Federal de São Carlos, 2016-05-31)
In this thesis, we extend some flexible cure rate models, such as the geometric, negative
binomial and power series cure rate models, to allow for spatial correlations by including spatial
frailties for the interval ...