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Addressing Census data problems in race imputation via fully Bayesian
  Improved Surname Geocoding and name supplements
v1v2v3 (latest)

Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements

Science Advances (Sci Adv), 2022
12 May 2022
Kosuke Imai
S. Olivella
Evan T. R. Rosenman
ArXiv (abs)PDFHTML

Papers citing "Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements"

4 / 4 papers shown
LSTM+Geo with xgBoost Filtering: A Novel Approach for Race and Ethnicity Imputation with Reduced Bias
LSTM+Geo with xgBoost Filtering: A Novel Approach for Race and Ethnicity Imputation with Reduced Bias
S. Chalavadi
A. Pastor
T. Leitch
162
0
0
30 Apr 2025
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias
  Measurement in the U.S
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S
Saikrishna Badrinarayanan
Osonde Osoba
Miao Cheng
Ryan Rogers
Sakshi Jain
Rahul Tandra
Natesh S. Pillai
174
1
0
06 Sep 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
297
6
0
27 May 2024
Race and ethnicity data for first, middle, and last names
Race and ethnicity data for first, middle, and last names
Evan T. R. Rosenman
S. Olivella
Kosuke Imai
53
8
0
26 Aug 2022
1
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