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[ Author] Title Type Year Filters: First Letter Of Last Name is Q [Clear All Filters]
Generating Partially Synthetic Geocoded Public Use Data with Decreased Disclosure Risk Using Differential Smoothing." Journal of the Royal Statistical Society - Series A (2016), available at https://arxiv.org/abs/1507.05529.
"Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." Spatial Statistics 14 (2015): 439-451. DOI: 10.1016/j.spasta.2015.07.008, available at http://www.sciencedirect.com/science/article/pii/S2211675315000718.
"NCRN Meeting Fall 2014: Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography. NCRN Coordinating Office Preprint 1813:37750, 2014, available at http://hdl.handle.net/1813/37750.
Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." ArXiv, no. 1407.7795 (2015), available at http://arxiv.org/abs/1407.7795.
"A Fully Bayesian Approach for Generating Synthetic Marks and Geographies for Confidential Data." In International Indian Statistical Association. IISA, 2014.
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