A criterion for privacy protection in data collection and its attainment via randomized response procedures

DOI10.1214/18-EJS1508zbMath1412.62015OpenAlexW2905288883WikidataQ128744528 ScholiaQ128744528MaRDI QIDQ1711578

Jichong Chai, Tapan K. Nayak

Publication date: 18 January 2019

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1544842902

zbMATH Keywords

transition probability matrixBayes factoradmissibilitydata utilitysufficiency of experimentsprivacy breach

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Sampling theory, sample surveys (62D05)

Related Items (1)

Minimax randomized response methods for protecting respondent’s privacy

Uses Software

• FRAPP
• RAPPOR

Cites Work

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• Minimax Optimal Procedures for Locally Private Estimation
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• Bayes Factors
• A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality ProtectionaaThe views expressed in this chapter are those of the authors and not necessarily those of the US Census Bureau. The analysis and conclusions contained in this chapter are those of the authors and do not represent the official position of the US Energy Information Administration (EIA) or the US Department of Energy (DOE).
• A Recurring Theorem on Determinants
• Equivalent Comparisons of Experiments
• On Invariant Post‐randomization for Statistical Disclosure Control
• Measuring Identification Risk in Microdata Release and Its Control by Post‐randomisation

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