research
∙
07/25/2023
A Primer on the Data Cleaning Pipeline
The availability of both structured and unstructured databases, such as ...
share
research
∙
01/08/2023
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors
Entity resolution (record linkage or deduplication) is the process of id...
research
∙
12/02/2021
On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery
The quantification of modern slavery has received increased attention re...
research
∙
03/06/2021
Transformed Fay-Herriot Model with Measurement Error in Covariates
Statistical agencies are often asked to produce small area estimates (SA...
research
∙
08/10/2020
(Almost) All of Entity Resolution
Whether the goal is to estimate the number of people that live in a cong...
research
∙
04/04/2020
Random Partition Models for Microclustering Tasks
Traditional Bayesian random partition models assume that the size of eac...
research
∙
09/13/2019
d-blink: Distributed End-to-End Bayesian Entity Resolution
Entity resolution (ER) (record linkage or de-duplication) is the process...
research
∙
10/11/2018
Probabilistic Blocking with An Application to the Syrian Conflict
Entity resolution seeks to merge databases as to remove duplicate entrie...
research
∙
10/11/2018
Generalized Bayesian Record Linkage and Regression with Exact Error Propagation
Record linkage (de-duplication or entity resolution) is the process of m...
research
∙
10/02/2018
Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression
Record linkage (entity resolution or de-deduplication) is the process of...
research
∙
10/07/2017
Unique Entity Estimation with Application to the Syrian Conflict
Entity resolution identifies and removes duplicate entities in large, no...
research
∙
03/08/2017
Performance Bounds for Graphical Record Linkage
Record linkage involves merging records in large, noisy databases to rem...
research
∙
10/31/2016
Flexible Models for Microclustering with Application to Entity Resolution
Most generative models for clustering implicitly assume that the number ...
research
∙
08/07/2016
Bayesian Learning of Dynamic Multilayer Networks
A plethora of networks is being collected in a growing number of fields,...
research
∙
12/02/2015
Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Most generative models for clustering implicitly assume that the number ...
research
∙
10/17/2014
