Statistical Approximating Distributions Under Differential Privacy

Statistics computed from data are viewed as random variables. When they are used for tasks like hypothesis testing and confidence intervals, their true finite sample distributions are often replaced by approximating distributions that are easier to work with (for example, the Gaussian, which results...

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Bibliographic Details
Main Authors: Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa
Format: Article
Language:English
Published: Labor Dynamics Institute 2018-12-01
Series:The Journal of Privacy and Confidentiality
Subjects:
Online Access:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/666