Some advances on Bayesian record linkage and inference for linked data

In this paper we review some recent advances on Bayesian methodology for performing Record Linkage and for making inference using the resulting matched units. In particular we frame the record linkage issue into a formal inferential problem and we adapt standard model selection techniques to this context. Although the methodology is quite general, we will focus on the simple multiple regression set-up for expository convenience.