Vol. 7 No. 1 (2015) | Journal of Privacy and Confidentiality

This issue was first published at Research Showcase @ CMU (http://repository.cmu.edu/jpc/vol7/iss1/). Research Showcase @ CMU is Carnegie Mellon University’s institutional repository.

DOI: https://doi.org/10.29012/jpc.v7i1

Published: 2015-12-31

In This Issue

Stephen E. Fienberg

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Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering

Jared S. Murray

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The Effect of Data Swapping on Analyses of American Community Survey Data

Nicolas Kim

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Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models

Martin Klein, Bimal Sinha

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Designing Incentive Schemes for Privacy-Sensitive Users

Chong Huang, Lalitha Sankar, Anand D. Sarwate

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The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal whose purpose is to facilitate the coalescence of research methodologies and activities in the areas of privacy, confidentiality, and disclosure limitation. The JPC seeks to publish a wide range of research and review papers, not only from academia, but also from government (especially official statistical agencies) and industry, and to serve as a forum for exchange of views, discussion, and news. For more information, see the About the Journal page.