27 citations · 173 across the 24 of their papers we have counts for
27 papers
A Primer on the Data Cleaning Pipeline
Rebecca C. Steorts
The availability of both structured and unstructured databases, such as electronic health data, social media data, patent data, and surveys that are often updated in real time, amo…
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors
Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts
Entity resolution (record linkage or deduplication) is the process of identifying and linking duplicate records in databases. In this paper, we propose a Bayesian graphical approac…
On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery
Olivier Binette, Rebecca C. Steorts
The quantification of modern slavery has received increased attention recently as organizations have come together to produce global estimates, where multiple systems estimation (M…
Transformed Fay-Herriot Model with Measurement Error in Covariates
Sepideh Mosaferi, Malay Ghosh, Rebecca C. Steorts
Statistical agencies are often asked to produce small area estimates (SAEs) for positively skewed variables. When domain sample sizes are too small to support direct estimators, ef…
(Almost) All of Entity Resolution
Olivier Binette, Rebecca C. Steorts
Whether the goal is to estimate the number of people that live in a congressional district, to estimate the number of individuals that have died in an armed conflict, or to disambi…
Random Partition Models for Microclustering Tasks
Brenda Betancourt, Giacomo Zanella, Rebecca C. Steorts
Traditional Bayesian random partition models assume that the size of each cluster grows linearly with the number of data points. While this is appealing for some applications, this…