9 citations · 24 across the 11 of their papers we have counts for
4 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…
On choosing mixture components via non-local priors
Jairo Fúquene, Mark Steel, David Rossell
Choosing the number of mixture components remains an elusive challenge. Model selection criteria can be either overly liberal or conservative and return poorly-separated components…
Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions
F. J. Rubio, M. F. J. Steel
We formalise and generalise the definition of the family of univariate double two--piece distributions, obtained by using a density--based transformation of unimodal symmetric cont…
On posterior propriety for the Student- linear regression model under Jeffreys priors
Catalina A. Vallejos, Mark F. J. Steel
Regression models with fat-tailed error terms are an increasingly popular choice to obtain more robust inference to the presence of outlying observations. This article focuses on B…