236 citations · 255 across the 8 of their papers we have counts for
8 papers
Efficient model exploration with the integrated nested Laplace approximation
Héctor López-Gómez, Virgilio Gómez-Rubio, Gonzalo García-Donato
Model and variable selection are important topics in Bayesian inference. In particular, the selection of different fixed, random effects and hyperparameters in hierarchical models…
Handling Factors in Variable Selection Problems
Gonzalo Garcia-Donato, Rui Paulo
Factors are categorical variables, and the values which these variables assume are called levels. In this paper, we consider the variable selection problem where the set of potenti…
Methods and Tools for Bayesian Variable Selection and Model Averaging in Univariate Linear Regression
Anabel Forte, Gonzalo Garcia-Donato, Mark Steel
In this paper we briefly review the main methodological aspects concerned with the application of the Bayesian approach to model choice and model averaging in the context of variab…
BayesVarSel: Bayesian Testing, Variable Selection and model averaging in Linear Models using R
Gonzalo Garcia-Donato, Anabel Forte
This paper introduces the R package BayesVarSel which implements objective Bayesian methodology for hypothesis testing and variable selection in linear models. The package computes…
Bayesian variable selection in high dimensional problems without assumptions on prior model probabilities
James O. Berger, Gonzalo Garcia-Donato, Miguel A. Martinez-Beneito +1
We consider the problem of variable selection in linear models when , the number of potential regressors, may exceed (and perhaps substantially) the sample size (which is po…
Inferences in Bayesian variable selection problems with large model spaces
Gonzalo Garcia-Donato, Miguel Angel Martinez-Beneito
An important aspect of Bayesian model selection is how to deal with huge model spaces, since exhaustive enumeration of all the models entertained is unfeasible and inferences have…