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Perry, Benjamin, Venkata Kambhampaty, Kyle Brumsted, Lars Vilhuber, and William Block. Presentation: NADDI 2015: Crowdsourcing DDI Development: New Features from the CED2AR Project. Cornell University Preprint 1813:40172, 2015, available at http://hdl.handle.net/1813/40172.
Li, Ping, and John Abowd. Presentation: Predicting Multiple Responses with Boosting and Trees. Cornell University Preprint 1813:40255, 2013, available at http://hdl.handle.net/1813/40255.
Abowd, John. Presentation: Revisiting the Economics of Privacy: Population Statistics and Privacy as Public Goods. Cornell University Preprint 1813:30937, 2012, available at http://hdl.handle.net/1813/30937.
Friedline, T., M. Despard, and G. Chowa. "Preventive policy strategy for banking the unbanked: Savings accounts for teenagers?" Journal of Poverty 20, no. 1 (2015): 2-33. DOI: 10.1080/10875549.2015.1015068, available at http://www.tandfonline.com/doi/full/10.1080/10875549.2015.1015068.
Acquisti, Alessandro, Laura Brandimarte, and George Loewenstein. "Privacy and human behavior in the age of information." Science 347, no. 6221 (2015). DOI: 10.1126/science.aaa1465, available at http://www.sciencemag.org/content/347/6221/509.
Fienberg, Stephen E.. "Privacy in a world of electronic data: Whom should you trust?" Notices of the AMS 59 (2012): 479.
Fienberg, Stephen E., and Jiashun Jin. "Privacy-preserving data sharing in high dimensional regression and classification settings." Journal of Privacy and Confidentiality 4 (2012): 221.
Shrivastava, Anshumali. Probabilistic Hashing Techniques For Big Data, Computer Science. Vol. Ph.D. Cornell University Dissertation, 2015, available at https://ecommons.cornell.edu/handle/1813/40886.
Murray, J. S.. "Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering,." Journal of Privacy and Confidentiality 7, no. 1 (2016), available at http://repository.cmu.edu/jpc/vol7/iss1/2.
Vilhuber, Lars, and Ian Schmutte. Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy. Cornell University Preprint 1813:46197, 2017, available at http://hdl.handle.net/1813/46197.
Vilhuber, Lars, and Ian M. Schmutte. Proceedings from the 2017 Cornell-Census- NSF- Sloan Workshop on Practical Privacy. Cornell University Preprint 1813:52473, 2017, available at http://hdl.handle.net/1813/52473.
Vilhuber, Lars, Saki Kinney, and Ian M. Schmutte. Proceedings from the Synthetic LBD International Seminar. Cornell University Preprint 1813:52472, 2017, available at http://hdl.handle.net/1813/52472.
Ruther, N., P. Phipps, and R.F. Belli. "The process of turning audit trails from a CATI survey into useful data: Interviewer behavior paradata in the American Time Use Survey." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Abowd, John M., Lars Vilhuber, and William Block. "A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs." In Privacy in Statistical Databases, edited by Josep Domingo-Ferrer and Ilenia Tinnirello, 216-225. Vol. 7556. Lecture Notes in Computer Science 7556. Springer Berlin Heidelberg, 2012, available at http://dx.doi.org/10.1007/978-3-642-33627-0_17.
Abowd, John M., Lars Vilhuber, and William Block. A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. Cornell University Preprint 1813:30923, 2011, available at http://hdl.handle.net/1813/30923.
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Sun, Xu, Anshumali Shrivastava, and Ping Li. "Query spelling correction using multi-task learning." In Proceedings of the 21st World Wide Web Conference (WWW 2012)(Companion Volume), 613-614., 2012, available at http://doi.acm.org/10.1145/2187980.2188153.
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Sorkin, Isaac. Ranking Firms Using Revealed Preference and Other Essays About Labor Markets, Department of Economics. Ann Arbor, MI: University of Michigan Ph.D., 2015, available at http://hdl.handle.net/2027.42/116747.
Foote, Andrew, Mark J. Kutzbach, and Lars Vilhuber. Recalculating - How Uncertainty in Local Labor Market Definitions Affects Empirical Findings. Cornell University Preprint 1813:52649, 2017, available at http://hdl.handle.net/1813/52649.
Holan, S.H.. Recent Advances in Spatial Methods for Federal Surveys., 2013.
Flaaen, Aaron, Matthew Shapiro, and Isaac Sorkin. Reconsidering the Consequences of Worker Displacements: Survey versus Administrative Measurements. University of Michigan mimeo, 2013, available at http://www-personal.umich.edu/~shapiro/papers/ReconsideringDisplacements.pdf.
Wasi, Nada, and Aaron Flaaen. "Record Linkage using STATA: Pre-processing, Linking and Reviewing Utilities." The Stata Journal 15, no. 3 (2015): 1-15, available at http://www.stata-journal.com/article.html?article=dm0082.
Smyth, J.D., and K. Olson. "Recording What the Respondent Says: Does Question Format Matter?" In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Bradley, J.R.. A Reduced Rank Model for Analyzing Multivariate Spatial Datasets, University of Missouri-Kansas City. University of Missouri-Kansas City, 2013.
Folch, D., and S. E. Spielman. "Reducing the Margins of Error in the American Community Survey Through Data-Driven Regionalization." PlosOne (2015). DOI: 10.1371/journal.pone.0115626, available at http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0115626.
Spielman, Seth, and David Folch. Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization. University of Colorado at Boulder / University of Tennessee Preprint 1813:38121, 2014, available at http://hdl.handle.net/1813/38121.

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