Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data
Agencies seeking to disseminate public use microdata, i.e., data on individual records, can replace confidential values with multiple draws from statistical models estimated with the collected data. We present a famework for evaluating disclosure risks inherent in releasing multiply-imputed, synthe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2014-06-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/635 |