13 citations · 13 across the 2 of their papers we have counts for
4 papers
An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics
Robert Ashmead, Michael B. Hawes, Mary Pritts +2
To protect the confidentiality of the 2020 Census, the U.S. Census Bureau adopted a statistical disclosure limitation framework based on the principles of differential privacy. A k…
Least Squares Estimation For Hierarchical Data
Ryan Cumings-Menon, Pavel Zhuravlev
The U.S. Census Bureau's 2020 Disclosure Avoidance System (DAS) bases its output on noisy measurements, which are population tabulations added to realizations of mean-zero random v…
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File
Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer +4
In "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Abowd et al. (2022) describe the concepts and methods used by the Disclosure Avoidance System (DAS) to produce f…
An In-Depth Examination of Requirements for Disclosure Risk Assessment
Ron S. Jarmin, John M. Abowd, Robert Ashmead +11
The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to m…