236 citations · 255 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
Generalization of Jeffreys' divergence based priors for Bayesian hypothesis testing
M. J. Bayarri, G. García-Donato
In this paper we introduce objective proper prior distributions for hypothesis testing and model selection based on measures of divergence between the competing models; we call the…
Computer model validation with functional output
M. J. Bayarri, J. O. Berger, J. Cafeo +7
A key question in evaluation of computer models is Does the computer model adequately represent reality? A six-step process for computer model validation is set out in Bayarri et a…