Improving the Utility of Poisson-Distributed, Differentially Private Synthetic Data via Prior Predictive Truncation with an Application to CDC WONDER

Journal Article

Original Resource

Authors	Harrison Quick
Year	2022
Language	English
Citations (WoS)	2

Taxonomy Associations

Geographies

Scope
- National
- Urban
- Rural

Bringing migration research under one roof.

Funded by Led by

This project was made possible thanks to funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Ares(2017) 5627812-77012.

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Improving the Utility of Poisson-Distributed, Differentially Private Synthetic Data via Prior Predictive Truncation with an Application to CDC WONDER

Journal Article

Original Resource

Taxonomy Associations

Geographies

Scope

Bringing migration research under one roof.