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Modelos série de potência com excesso de zeros observáveis e latentes
(Universidade Federal de São Carlos, 2016-09-28)
The present work's main objective is to study the significance of zeros in an observable
and latent data. In observable data set that occur excess of zeros, its common to have
sobredispersion. In this sense, the models ...
Modelo alfa normal assimétrico multivariado para redes de classificação
(Universidade Federal de São Carlos, 2016-03-16)
In this Thesis we expose the proposition of a new class of probability distributions, the so called alpha skew normal multivariate, an extension of the univariate Normal Alpha distribution, introduced by Elal-Olivero (2010). ...
Avaliação de testes diagnósticos na ausência de padrão ouro considerando relaxamento da suposição de independência condicional, covariáveis e estratificação da população: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2011-12-16)
The application of a gold standard reference test in all or part of the sample under investigation is often not feasible for the majority of diseases affecting humans, either by a lack of consensus on which testing may be ...
Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation
(Universidade Federal de São Carlos, 2015-09-30)
In this thesis, we extend the analysis of multivariate Seemingly Unrelated Regression (SUR) Tobit models by modeling their nonlinear dependence structures through copulas. The capability in coupling together the diferent ...
Models for inflated data applied to credit risk analysis
(Universidade Federal de São Carlos, 2016-09-27)
In this thesis, we introduce a methodology based on zero-inflated survival data for the
purposes of dealing with propensity to default (credit risk) in bank loan portfolios. Our
approach enables us to accommodate three ...
Modelos para séries temporais utilizando as distribuições normal generalizada e log-normal generalizada
(Universidade Federal de São Carlos, 2016-03-23)
From the generalized normal distribution and concepts of the generalized autoregressive
moving averages models we introduce the generalized normal-ARMA model as
an alternative way to model time series exhibiting symmetry ...
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 ...
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 ...
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 ...