Statistically Valid Inferences from Differentially Private Data Releases, II: Extensions to Nonlinear Transformations
Georgina Evans, Gary King. 2025.
"Statistically Valid Inferences from Differentially Private Data Releases, II: Extensions to Nonlinear Transformations".
Abstract
We extend Evans and King (Forthcoming, 2021) to nonlinear transformations, using proportions and weighted averages as our running examples.
See Also
- [Paper] Statistically Valid Inferences from Differentially Private Data Releases, With Application to the Facebook URLs Dataset (2023)
- [Paper] Statistically Valid Inferences from Privacy Protected Data (2023)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Pew Research Center) (2025)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Stat188, Harvard University) (2024)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Washington University in St. Louis) (2023)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Deloitte) (2022)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Institute for Analytical Sociology, Norrköping, Sweden) (2022)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (MIT Analytics Lab) (2022)