8 citations · 23 across the 16 of their papers we have counts for
5 papers · 1 filter
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…
Tractable Bayesian variable selection: beyond normality
David Rossell, Francisco J. Rubio
Bayesian variable selection often assumes normality, but the effects of model misspecification are not sufficiently understood. There are sound reasons behind this assumption, part…
Flexible objective Bayesian linear regression with applications in survival analysis
F. J. Rubio, K. Yu
We study objective Bayesian inference for linear regression models with residual errors distributed according to the class of two-piece scale mixtures of normal distributions. Thes…
Natural (non-)informative priors for skew-symmetric distributions
Holger Dette, Christophe Ley, Francisco Javier Rubio
In this paper, we present an innovative method for constructing proper priors for the skewness (shape) parameter in the skew-symmetric family of distributions. The proposed method…
Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis
Francisco J. Rubio, Marc G. Genton
We study Bayesian linear regression models with skew-symmetric scale mixtures of normal error distributions. These kinds of models can be used to capture departures from the usual…