8 citations · 23 across the 16 of their papers we have counts for
18 papers
An objective non-local prior for skew-symmetric models
F. J. Rubio
We propose an objective non-local prior for testing symmetry against skew-symmetric alternatives. The prior is derived through a formal construction rule by assigning a uniform dis…
On near-redundancy and identifiability of parametric hazard regression models under censoring
F. J. Rubio, J. A. Espindola, J. A. Montoya
We study parametric inference on a rich class of hazard regression models in the presence of right-censoring. Previous literature has reported some inferential challenges, such as…
A tractable Bayesian joint model for longitudinal and survival data
Danilo Alvares, Francisco Javier Rubio
We introduce a numerically tractable formulation of Bayesian joint models for longitudinal and survival data. The longitudinal process is modelled using generalised linear mixed mo…
Additive Bayesian variable selection under censoring and misspecification
David Rossell, Francisco Javier Rubio
We discuss the role of misspecification and censoring on Bayesian model selection in the contexts of right-censored survival and concave log-likelihood regression. Misspecification…
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula
Cristiano Villa, Francisco J. Rubio
An objective Bayesian approach to estimate the number of degrees of freedom for the multivariate distribution and for the -copula, when the parameter is considered dis…
Flexible linear mixed models with improper priors for longitudinal and survival data
F. J. Rubio, M. F. J. Steel
We propose a Bayesian approach using improper priors for hierarchical linear mixed models with flexible random effects and residual error distributions. The error distribution is m…