Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation-Reference-Cited by-同舟云学术

Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation

Published:2021-09-20 Issue: Volume: Page:
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Carota Cinzia¹^ORCID,Filippone Maurizio²,Polettini Silvia³^ORCID

Affiliation:

1. Dipartimento di Economia e Statistica “Cognetti de Martiis” Università di Torino Lungo Dora Siena 100 A Turin 10153 Italy

2. Department of Data Science, EURECOM Campus SophiaTech, 450 Route des Chappes Biot 06410 France

3. Dipartimento di Scienze Sociali ed Economiche Sapienza Università di Roma P.le Aldo Moro 5 Rome 00185 Italy

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12471

Reference43 articles.

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2. Abowd J.M.(2018b).The US Census Bureau adopts differential privacy. In KDD'18 proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining pp. 2867–2867. London.https://doi.org/10.1145/3219819.3226070

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