5 citations · 9 across the 2 of their papers we have counts for
3 papers
stat.ME2025★ 4 cited
Invited Discussion of "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by Gonzalo García-Donato , María Eugenia Castellanos , Stefano Cabras Alicia Quirós , and Anabel Forte
Merlise A Clyde
The article by Garc{í}a-Donato and co-authors addresses the dual challenges of accounting for model uncertainty and missing data within the Gaussian regression frameworks from an o…
stat.CO2016★ 5 cited
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…
stat.OT2016★ 4 cited
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…