A Bayesian Approach to Graphical Record Linkage A Simulation Study

We provide a simulation study based on the model in §2.1 and we simulate data from the NLTCS based on our model, with varying levels of distortion. The varying levels of distortion (0, 0.25%, 0.5%, 1%, 2%, 5%) associated with the simulated data are then run using our MCMC algorithm to assess how well we can match under “noisy data.” Figure 3 illustrates an approximate linear relationship with FNR and the distortion level, while we see an near-exponential relationship between FPR and the distortion level. Figure 4 demonstrates that for moderate distortion levels (per field), we can estimate the true number of observed individuals extremely well via estimated posterior densities. However, once the distortion is too noisy, our model has trouble recovering this value.