In this work we present a Bayesian analysis for bivariate survival data in the presence of a covariate and censored observations. We propose a bivariate distribution for the bivariate survival times based on the ...

In the current dissertation, we study the mixture regression models and present two Bayesian methodologies for their estimation. The first one considers the number of components is known and we propose the use of two ...

The statistical analysis of the continuous data set has been developed in most cases for normal models, specially, in the linear and nom linear models context. In the simple linear regression models, even accepting as ...

Compositional data are given by vectors of positive numbers with sum equals to one. These kinds of data are common in many applications, as in geology, biology, economy among many others. In this paper, we introduce a ...

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 ...

The elicitation is a process that allows the incorporation of a prior information provided by an expert on some quantity, unknown and of interest, to the information from the experimental data. It can be used in many applied ...