BayesFellegiSunterModellen
BayesFellegiSu is a hypothetical statistical framework that combines Bayesian inference with principles from the Fellegi-Sunter record linkage model. The Fellegi-Sunter model is a probabilistic approach used to identify and link records that refer to the same entity across different data sources, even when records are not perfectly matched. It assigns weights to agreements and disagreements on various fields and uses these weights to determine the probability that a pair of records are a match.
Bayesian inference, on the other hand, provides a framework for updating beliefs in light of new evidence.
Such a framework might offer advantages in situations with complex data structures, incomplete information, or when