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

dc.contributor.author	Reiter, Jerry
dc.date.accessioned	2017-04-03T21:36:11Z
dc.date.available	2017-04-03T21:36:11Z
dc.date.issued	2009-07-31
dc.description	The workshop was held at the Census Bureau’s Headquarters in Suitland, MD.	en_US
dc.description.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.”	en_US
dc.description.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.	en_US
dc.identifier.uri	https://hdl.handle.net/1813/47667
dc.language.iso	en_US	en_US
dc.relation.hasversion	https://www2.vrdc.cornell.edu/news/wp-content/uploads/2009/08/1-1-Reiter.pdf	en_US
dc.title	Easily Implemented, Nonparametric Synthesizers Based on Algorithmic Methods from Computer Science	en_US
dc.type	presentation	en_US

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