27 citations · 173 across the 24 of their papers we have counts for
8 papers · 1 filter
Smoothing, Clustering, and Benchmarking for Small Area Estimation
Rebecca C. Steorts
We develop constrained Bayesian estimation methods for small area problems: those requiring smoothness with respect to similarity across areas, such as geographic proximity or clus…
Variational Bayes for Merging Noisy Databases
Tamara Broderick, Rebecca C. Steorts
Bayesian entity resolution merges together multiple, noisy databases and returns the minimal collection of unique individuals represented, together with their true, latent record v…
Entity Resolution with Empirically Motivated Priors
Rebecca C. Steorts
Databases often contain corrupted, degraded, and noisy data with duplicate entries across and within each database. Such problems arise in citations, medical databases, genetics, h…
A Comparison of Blocking Methods for Record Linkage
Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle +1
Record linkage seeks to merge databases and to remove duplicates when unique identifiers are not available. Most approaches use blocking techniques to reduce the computational comp…
Discussion of "Single and Two-Stage Cross-Sectional and Time Series Benchmarking Procedures for SAE"
Rebecca C. Steorts, M. Delores Ugarte
We congratulate the authors for a stimulating and valuable manuscript, providing a careful review of the state-of the-art in cross-sectional and time-series benchmarking procedures…
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication
Rebecca C. Steorts, Rob Hall, Stephen E. Fienberg
We propose a novel unsupervised approach for linking records across arbitrarily many files, while simultaneously detecting duplicate records within files. Our key innovation is to…