5 citations · 10 across the 2 of their papers we have counts for
3 papers
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Francisco Palmi-Perales, Virgilio Gomez-Rubio, Miguel A. Martinez-Beneito
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with package INLA for Bayesian inference.…
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…