Differentially Private Significance Tests for Regression Coefficients

DOI10.1080/10618600.2018.1538881OpenAlexW2963038732WikidataQ128855444 ScholiaQ128855444MaRDI QIDQ3391253

Ashwin Machanavajjhala, Yan Chen, Andrés F. Barrientos, Jerome P. Reiter

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.09561

zbMATH Keywords

verificationconfidentialityLaplacequerydisclosuresynthetic

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

A Survey of Differentially Private Regression for Clinical and Epidemiological Research ⋮ Distribution-invariant differential privacy ⋮ Canonical noise distributions and private hypothesis tests ⋮ Differentially private inference via noisy optimization ⋮ Comparative study of differentially private data synthesis methods ⋮ Privacy-Preserving Parametric Inference: A Case for Robust Statistics

Uses Software

• Dataverse

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