Sala de seminários do Departamento de Estatística- UFSCar-São
Carlos-SP
Titulo: BAYESIAN ANALYSIS OF A
CORRELATED BINOMIAL MODEL
Carlos A. R. Diniz
(Trabalho em conjunto com os
Profs. Marcelo H. Tutia e José G. Leite)
ABSTRACT
In this paper a Bayesian approach is applied to
the correlated binomial
model, CB(n,p,ρ ), proposed
by Luceño, 1995. The data
augmentation scheme is used in order to overcome the complexity of the mixture likelihood. MCMC methods, including Gibbs sampling and Metropolis within Gibbs, are applied to estimate the posterior marginal for the
probability of success p and for the correlation coefficient ρ The sensitivity of the posterior is
studied taking into account several reference priors and it is shown that the posterior characteristics
appear not to be influenced by these prior distributions. The article is motivated by a study of plant selection.
Key words: correlated binomial distribution;
Bayesian
inference; MCMC methods.
Estão todos convidados para este seminário especial às
14:00 h. Lembramos que neste semestre o GIB realizará mensalmente um
seminário conjunto com o ICMC-USP. Abraços,
Josemar