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  6. Easily Implemented, Nonparametric Synthesizers Based on Algorithmic Methods from Computer Science

Easily Implemented, Nonparametric Synthesizers Based on Algorithmic Methods from Computer Science

File(s)
1-1-Reiter.pdf (116.04 KB)
Permanent Link(s)
https://hdl.handle.net/1813/47667
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NSF-Census-IRS Workshop on Synthetic Data and Confidentiality Protection 2009
Author
Reiter, Jerry
Abstract

A workshop that brought together university-based researchers, members of the international official statistical community, and other interested user communities was held on July 31, 2009, the Friday before the 2009 Joint Statistical Meetings in Washington DC at the U.S. Census Bureau's Headquarters building in Suitland, MD. The purpose of the workshop was to discuss and critique newly created public-use micro-data files that are based on the concepts of “synthetic data” and “partially synthetic data.”

Description
The workshop was held at the Census Bureau’s Headquarters in Suitland, MD.
Sponsorship
Funding for the conference and its preparation were provided by National Science Foundation (NSF) Grant SES-0922494, the U.S. Census Bureau's Center for Economic Studies, the Internal Revenue Service (IRS), and the Edmund Ezra Day Professorship at Cornell University.
Date Issued
2009-07-31
Related Version
https://www2.vrdc.cornell.edu/news/wp-content/uploads/2009/08/1-1-Reiter.pdf
Type
presentation

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