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By Author
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Practical Data Synthesis for Large Samples
Gillian M Raab, Beata Nowok, Chris Dibben
67-97
Model Selection when multiple imputation is used to protect confidentiality in public use data
Satkartar K. Kinney, Jerome P. Reiter, James O. Berger
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
A New Data Collection Technique for Preserving Privacy
Samuel S Wu, Shigang Chen, Deborah L Burr, Long Zhang
99-129
Statistical Disclosure Limitation: New Directions and Challenges
Natalie Shlomo
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data
Jerome P. Reiter, Quanli Wang, Biyuan Zhang
Data Confidentiality: The Next Five Years Summary and Guide to Papers
Satkartar K. Kinney, Alan F. Karr, Joe Fred Gonzalez Jr.
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts
Aleksandra B. Slavkovic
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
Aleksandra B. Slavkovic, Adam Smith
1 - 10 of 10 items