314 citations · 323 across the 5 of their papers we have counts for
5 papers
Model Uncertainty and Missing Data: An Objective Bayesian Perspective
Gonzalo García-Donato, María Eugenia Castellanos, Stefano Cabras +2
The interplay between missing data and model uncertainty -- two classic statistical problems -- leads to primary questions that we formally address from an objective Bayesian persp…
Screening the Discrepancy Function of a Computer Model
Pierre Barbillon, Anabel Forte, Rui Paulo
Screening traditionally refers to the problem of detecting active inputs in the computer model. In this paper, we develop methodology that applies to screening, but the main focus…
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…
Criteria for Bayesian model choice with application to variable selection
M. J. Bayarri, J. O. Berger, A. Forte +1
In objective Bayesian model selection, no single criterion has emerged as dominant in defining objective prior distributions. Indeed, many criteria have been separately proposed an…