Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings
Author:
Affiliation:
1. Civil and Environmental Engineering Department, Stanford University, Stanford, CA;
2. Mathematics and Statistics Department, Vassar College, Poughkeepsie, NY
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00031305.2022.2077440
Reference28 articles.
1. Airbnb (2020), “About Us,” Availalbe at https://news.airbnb.com/about-us/. Accessed August 03, 2020.
2. Bressington, B. (2019), “How Airbnb Hosts are Joining Crime Networks to Steal from Guests,” available at https://medium.com/@BenBressington/how-airbnb-hosts-are-joining-crime-networks-to-steal-from-guest-ecda035c38fe.
3. Dgomonov (2019), “New York City Airbnb Open Data,” available at https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data. Accessed April 20, 2020.
4. Synthetic Datasets for Statistical Disclosure Control
5. Synthesizing Geocodes to Facilitate Access to Detailed Geographical Information in Large-Scale Administrative Data
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