30 Years of Synthetic Data-Reference-Cited by-同舟云学术

30 Years of Synthetic Data

Published:2024-05-01 Issue:2 Volume:39 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Drechsler Jörg¹,Haensch Anna-Carolina²

Affiliation:

1. Jörg Drechsler is head of the Department for Statistical Methods at the Institute for Employment Research, Germany

2. Anna-Carolina Haensch is Lecturer, Ludwig-Maximilians-Universität, Munich, Germany

Publisher

Institute of Mathematical Statistics

Reference214 articles.

1. Little, R. J. A. and Rubin, D. B. (1987). Statistical Analysis with Missing Data. Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics. Wiley, New York.

2. DONG, Q., ELLIOTT, M. R. and RAGHUNATHAN, T. E. (2014). A nonparametric method to generate synthetic populations to adjust for complex sampling design features. Surv. Methodol. 40 29–46.

3. ZHOU, H., ELLIOTT, M. R. and RAGHUNATHAN, T. E. (2016). Synthetic multiple-imputation procedure for multistage complex samples. J. Off. Stat. 32 231–256.

4. Dwork, C., McSherry, F., Nissim, K. and Smith, A. (2006). Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography. Lecture Notes in Computer Science 3876 265–284. Springer, Berlin.

5. Dwork, C. and Roth, A. (2013). The algorithmic foundations of differential privacy. Found. Trends Theor. Comput. Sci. 9 211–487.

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