Mostrando ítems 1-10 de 364
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...
Regressão binária usando ligações potência e reversa de potência
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2017-04-07)
The aim of this dissertation is to study a family of asymmetric link functions for binary regression models under Bayesian approach. Specifically, we present the estimation of parameters of power and reversal power binary ...
Comparing two populations using Bayesian Fourier series density estimation
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2017-04-12)
Given two samples from two populations, one could ask how similar the populations are, that is,
how close their probability distributions are. For absolutely continuous distributions, one way
to measure the proximity of ...
Procedimentos sequenciais Bayesianos aplicados ao processo de captura-recaptura
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2014-05-30)
In this work, we make a study of the Bayes sequential decision procedure applied to capture-recapture with fixed sample sizes, to estimate the size of a finite and closed population process. We present the statistical ...
Bayesian and classical inference for the generalized gamma distribution and related models
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-02-22)
The generalized gamma (GG) distribution is an important model that has proven to be
very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, ...
Inferência bayesiana objetiva e freqüentista para a probabilidade de sucesso
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 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. ...
O corte do FBST em modelos de alta dimensionalidade
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-12-03)
The problem of controlling the significance level of the FBST (Full Bayesian Significant Test) test
is studied in the context of Bayesian models for density, thus, a Bayesian method is shown that
works with density ...
Redes Bayesianas para classificação com aprendizado via scoring and restrict: método, aplicação e comparação com métodos tradicionais
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Ciências Fisiológicas - PIPGCFCâmpus São Carlos, 2021-04-05)
This work is an investigation towards the behavior of discrete Bayesian Networks (BN) which aims to solve classification problems. This methodology is based on graphs and probability theories, and
it is defined to be ...
A distribuição normal-valor extremo generalizado para a modelagem de dados limitados no intervalo unitário (0, 1)
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2019-06-28)
In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1). The proposed model is constructed under a transformation of variables, in which the transformed variable is ...