MPC Member Publications

This database contains a listing of population studies publications written by MPC Members. Anyone can add a publication by an MPC student, faculty, or staff member to this database; new citations will be reviewed and approved by MPC administrators.

Full Citation

Title: High dimensional, robust, unsupervised record linkage

Citation Type: Journal Article

Publication Year: 2020

DOI: 10.21307/stattrans-2020-034

Abstract: We develop a technique for record linkage on high dimensional data, where the two datasets may not have any common variable, and there may be no training set available. Our methodology is based on sparse, high dimensional principal components. Since large and high dimensional datasets are often prone to outliers and aberrant observations, we propose a technique for estimating robust, high dimensional principal components. We present theoretical results validating the robust, high dimensional principal component estimation steps, and justifying their use for record linkage. Some numeric results and remarks are also presented.

Url: https://orcid.org/0000-0002-

User Submitted?: No

Authors: Bera, Sabyasachi; Chatterjee, Snigdhansu

Periodical (Full):

Issue: 4

Volume: 21

Pages: 123-143

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop