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Generalized exponential distribution: A Bayesian approach using MCMC methods
(2015-12-01)
The generalized exponential distribution could be a good option to analyse lifetime data, as an alternative for the use of standard existing lifetime distributions as exponential, Weibull or gamma distributions. Assuming ...
Inferência em grafos aleatórios exponenciais através de métodos MCMC
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEstatística - Es, 2020-12-11)
In this work we study statistical inference methods for random graphs. In particular, we study the Exponential Random Graph Model and we study Bayesian estimator based on Markov chain Monte Carlo (MCMC) algorithm. We apply ...
Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
(Sociedade Brasileira de Pesquisa Operacional, 2012-08-01)
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior ...
A Bayesian Analysis in the Presence of Covariates for Multivariate Survival Data: An example of Application
(UNIV NAC COLOMBIA, DEPT ESTADISTICABOGOTÁ, 2011)
In this paper, 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 ...
Uma abordagem bayesiana para o mapeamento de QTLS utilizando o método MCMC com saltos reversíveis
(Editora da Universidade Federal de Lavras, 2009)
A utilização de metodologias bayesianas tem se tornado frequente nas aplicações em Genética, em particular em mapeamento de QTLs usando marcadores moleculares. Mapear um QTL significa identificar sua localização ao longo ...
Modelos estocásticos com heterocedasticidade: Uma abordagem Bayesiana para os retornos do Ibovespa
(2013-04-25)
Current research compares the Bayesian estimates obtained for the parameters of processes of ARCH family with normal and Student's t distributions for the conditional distribution of the return series. A non-informative ...
Use of Bayesian Methods for Multivariate Bioequivalence Measures
(TAYLOR & FRANCIS INCNEW YORK, 2009)
In this paper, we introduce a Bayesian analysis for bioequivalence data assuming multivariate pharmacokinetic measures. With the introduction of correlation parameters between the pharmacokinetic measures or between the ...
Climate changes and their effects in the public health: use of poisson regression models
(Sociedade Brasileira de Pesquisa Operacional, 2010)
Heteroscedastic Nonlinear Regression Models
(TAYLOR & FRANCIS INCNEW YORK, 2010)
In this article, we present a generalization of the Bayesian methodology introduced by Cepeda and Gamerman (2001) for modeling variance heterogeneity in normal regression models where we have orthogonality between mean and ...