This book brings together a collection of articles on statistical methods relating to missing
data analysis, including multiple imputation, propensity scores, instrumental variables, and …

Entity resolution is the process of merging and removing duplicate records from multiple
data sources, often in the absence of unique identifiers. Bayesian models for entity …

Data files and codes. Included in the supplementary material there are the following files:
exampleA. dat, exampleB. dat and exampleV. dat contain the data used in Section 5. The …

The bipartite record linkage task consists of merging two disparate datafiles containing
information on two overlapping sets of entities. This is nontrivial in the absence of unique …

Supplement to “Detecting duplicates in a homicide registry using a Bayesian partitioning
approach”. We provide a Gibbs sampler for the model presented in Section 3, a brief …

Summary Computerised Record Linkage methods help us combine multiple data sets from
different sources when a single data set with all necessary information is unavailable or …

Multiple-systems or capture–recapture estimation are common techniques for population
size estimation, particularly in the quantitative study of human rights violations. These …

Abstract The Census Bureau Person Identification Validation System (PVS) assigns unique
person identifiers to federal, commercial, census, and survey data to facilitate linkages …

Probabilistic record linkage (PRL) is the process of determining which records in two
databases correspond to the same underlying entity in the absence of a unique identifier …

We propose a Bayesian approach for matching noisy multivariate continuous vectors
observed on different occasions but originating from the same closed population. The …