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O processo de Poisson estendido e aplicações
(Universidade Federal de São Carlos, 2007-06-14)
Abstract
In this dissertation we will study how extended Poisson process can be applied to
construct discrete probabilistic models. An Extended Poisson Process is a continuous
time stochastic process with the state space ...
Inferência bayesiana objetiva e freqüentista para a probabilidade de sucesso
(Universidade Federal de São Carlos, 2009-02-10)
This study considers two discrete distributions based on Bernoulli trials: the Binomial and the Negative Binomial. We explore credibility and confidence intervals to estimate the
probability of success of each distribution. ...
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 ...
Uma abordagem clássica e bayesiana para o modelo de Tweedie
(Universidade Federal de São Carlos, 2005-04-27)
The goal of this work is to present a classic and a bayesian approach to the Tweedie Compound Poisson model considering the form and application shown at Jorgensen & Souza (1992). A speci.c goal is to estimate the individual ...
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 ...
Métodos estatísticos aplicados à análise da expressão gênica
(Universidade Federal de São Carlos, 2006-02-23)
The technology of the DNA-Arrays is a tool used to identify and to compare levels of expression of a great number of genes or fragments of genes, in di¤erent conditions.
With this comparison, it is possible to identify ...
Uma abordagem clássica e bayesiana para os modelos de Gompertz e de Richards heteroscedásticos.
(Universidade Federal de São Carlos, 2005-09-16)
This work presents a classical and a Bayesian approaches to two sigmoidal grownth curves, the Gompertz and the Richards models. We consider the homoscedastic assumption and a multiplicative heteroscedastic structure. For ...
Modelo logístico generalizado dependente do tempo com fragilidade
(Universidade Federal de São Carlos, 2011-02-11)
Several authors have preferred to model survival data in the presence of covariates through the hazard function, a fact related to its interpretation. The hazard function describes as the instantaneous average of failure ...
Modelos de regressão logística clássica, Bayesiana e redes neurais para Credit Scoring
(Universidade Federal de São Carlos, 2008-02-15)
Important advances have been achieved in the granting of credit, however, the problem of identifying good customers for the granting of credit does not provide a definitive solution. Several techniques were presented and ...
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 ...