Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series-Reference-Cited by-同舟云学术

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Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series

Published:2012 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Abowd John M.,Gittings R. Kaj,McKinney Kevin,Stephens Bryce,Vilhuber Lars,Woodcock Simon D.

Publisher

Elsevier BV

Reference26 articles.

1. Integrated Longitudinal Employee-Employer Data for the United States;J M Abowd;American Economic Review,2004

2. New approaches to confidentiality protection: Synthetic data, remote access and Research Data Centers;J M Abowd;Privacy in Statistical Databases,2004

3. The LEHD Infrastructure Files and The Creation of The Quarterly Workforce Indicators

4. The LEHD infrastructure files and the creation of the Quarterly Workforce Indicators;J M Abowd;Producer Dynamics: New Evidence from Micro Data,2009

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Interview with John M. Abowd;International Statistical Review;2022-02-20

2. Disclosure Limitation and Confidentiality Protection in Linked Data;Administrative Records for Survey Methodology;2021-03-26

3. Getting Handcuffs on an Octopus;ILR Review;2016-07-20

4. Using partially synthetic microdata to protect sensitive cells in business statistics;Statistical Journal of the IAOS;2016-02-27

5. Noise infusion as a confidentiality protection measure for graph-based statistics;Statistical Journal of the IAOS;2016-02-27

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