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20112026
most citedCriteria for Bayesian model choice with application to variable selection

314 citations · 366 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Objective Model Prior Probabilities in Variable Selection

James Berger, Gonzalo García-Donato, Elías Moreno +1

For many years it was routine to use equal model prior probabilities in Bayesian model uncertainty analysis. At least twenty years ago it became clear that this was problematic, le…

stat.ME2024

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…

stat.AP2020★ 3 cited

Bayesian classification for dating archaeological sites via projectile points

Carmen Armero, Gonzalo García-Donato, Joaquín Jiménez-Puerto +2

Dating is a key element for archaeologists. We propose a Bayesian approach to provide chronology to sites that have neither radiocarbon dating nor clear stratigraphy and whose only…

math.ST2012★ 314 cited

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…

stat.AP2011★ 49 cited

A Bayesian Joinpoint regression model with an unknown number of break-points

Miguel A. Martinez-Beneito, Gonzalo García-Donato, Diego Salmerón

Joinpoint regression is used to determine the number of segments needed to adequately explain the relationship between two variables. This methodology can be widely applied to real…