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Improving the Utility of Poisson-Distributed, Differentiall..:
Quick, Harrison
Journal of Survey Statistics and Methodology. 10 (2022) 3 - p. 596-617 , 2022
Link:
https://doi.org/10.1093/jssam/smac007
RT Journal T1 <Title>Improving the Utility of Poisson-Distributed, Differentially Private Synthetic Data Via Prior Predictive Truncation with an Application to CDC WONDER</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jssam_smac007&Exemplar=1&LAN=DE A1 Quick, Harrison PB Oxford University Press (OUP) YR 2022 SN 2325-0984 SN 2325-0992 JF Journal of Survey Statistics and Methodology VO 10 IS 3 SP 596 OP 617 LK http://dx.doi.org/https://doi.org/10.1093/jssam/smac007 DO https://doi.org/10.1093/jssam/smac007 SF ELIB - SuUB Bremen
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