Edge differentially private estimation in the β-model via jittering and method of moments-Reference-Cited by-同舟云学术

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Edge differentially private estimation in the β-model via jittering and method of moments

Published:2024-04-01 Issue:2 Volume:52 Page:
ISSN:0090-5364
Container-title:The Annals of Statistics
language:
Short-container-title:Ann. Statist.

Author:

Chang Jinyuan¹,Hu Qiao¹,Kolaczyk Eric D.²,Yao Qiwei³,Yi Fengting⁴

Affiliation:

1. Joint Laboratory of Data Science and Business Intelligence, Southwestern University of Finance and Economics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

2. Department of Mathematics and Statistics, McGill University

3. Department of Statistics, London School of Economics and Political Science

4. Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University

Publisher

Institute of Mathematical Statistics

Reference28 articles.

1. Chatterjee, S., Diaconis, P. and Sly, A. (2011). Random graphs with a given degree sequence. Ann. Appl. Probab. 21 1400–1435.

2. 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.

3. Wasserman, L. and Zhou, S. (2010). A statistical framework for differential privacy. J. Amer. Statist. Assoc. 105 375–389.

4. GINÉ, E., LATAŁA, R. and ZINN, J. (2000). Exponential and moment inequalities for U-statistics. In High Dimensional Probability, II (Seattle, WA, 1999). Progress in Probability 47 13–38. Birkhäuser, Boston, MA.

5. HENNIG, C. (2007). Cluster-wise assessment of cluster stability. Comput. Statist. Data Anal. 52 258–271.

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