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Abowd, John M., and Kevin L. McKinney. "Noise infusion as a confidentiality protection measure for graph-based statistics." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 127-135. DOI: 10.3233/SJI-160958, available at http://content.iospress.com/articles/statistical-journal-of-the-iaos/sji958.
Acquisti, A.. "Complementary Perspectives on Privacy and Security: Economics." In IEEE Security & Privacy, 93-95. Vol. 11., 2013.
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.
Acquisti, A., L. John, and G. Loewenstein. "What is Privacy Worth?" Journal of Legal Studies 42 (2013): 249-274.
Acquisti, A., I. Adjerid, and L. Brandimarte. "Gone in 15 Seconds: The Limits of Privacy Transparency and Control." IEEE Security & Privacy 11 (2013): 72-74.
Acquisti, A., and C. Taylor. "The Economics of Privacy." Journal of Economic Literature (2014).
Adjerid, I., A. Acquisti, and G. Loewenstein. "Sleights of Privacy: Framing, Disclosures, and the Limits of Transparency." In Proceedings of the Ninth Symposium on Usable Privacy and Security (SOUPS). New York, NY: ACM, 2013.
Adjerid, Idris, Alessandro Acquisti, and Laura Brandimarte. "Sleight of Privacy." In Conference on Web Privacy Measurement., 2012.
Akande, Olanrewaju, Fan Li, and Jerome Reiter. "An Empirical Comparison of Multiple Imputation Methods for Categorical Data." The American Statistician: 0. DOI: 10.1080/00031305.2016.1277158, available at http://dx.doi.org/10.1080/00031305.2016.1277158.
Akande, O., Fan Li, and J. P. Reiter. "An empirical comparison of multiple imputation methods for categorical data." arXiv, no. 1508.05918 (2015), available at http://arxiv.org/abs/1508.05918.
Akande, O.. A Comparison of Multiple Imputation Methods for Categorical Data (Master's Thesis), Statistical Science. Duke University Masters, 2015.
Al Baghal, T., A.L. Phillips, N. Ruther, R.F. Belli, L. Stuart, A. Eck, and L-K Soh. "What are you doing now?: Audit trails, Activity level responses and error in the American Time Use Survey." In American Association for Public Opinion Research. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Al Baghal, T., R.F. Belli, A.L. Phillips, and N. Ruther. "What are You Doing Now? Activity Level Responses and Errors in the American Time Use Survey." Journal of Survey Statistics and Methodology 2, no. 4 (2014).
Antenucci, Dolan, Michael J. Cafarella, Margaret C. Levenstein, Christopher Ré, and Matthew Shapiro. Using Social Media to Measure Labor Market Flows. Mimeo, 2014, available at http://www-personal.umich.edu/~shapiro/papers/LaborFlowsSocialMedia.pdf.
Antenucci, Dolan, Michael J. Cafarella, Margaret C. Levenstein, Christopher Ré, and Matthew Shapiro. "Ringtail: Feature Selection for Easier Nowcasting." WebDB (2013): 49-54, available at http://www.cs.stanford.edu/people/chrismre/papers/webdb_ringtail.pdf.
Antenucci, Dolan, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, and Christopher Ré. "Ringtail: a generalized nowcasting system." WebDB 6 (2013): 1358-1361, available at http://cs.stanford.edu/people/chrismre/papers/Ringtail-VLDB-demo.pdf.
Arab, A., M.B. Hooten, and C.K. Wikle. "Hierarchical Spatial Models." In Encyclopedia of Geographical Information Science. Springer, 2015.
Arunachalam, H., G. Atkin, A. Eck, D. Wettlaufer, L.-K. Soh, and R.F. Belli. "I Know What You Did Next: Predicting Respondent’s Next Activity Using Machine Learning." 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.
Atkin, G., H. Arunachalam, A. Eck, L.-K. Soh, and R.F. Belli. "Designing an Intelligent Time Diary Instrument: Visualization, Dynamic Feedback, and Error Prevention and Mitigation." In UNL/SRAM/Gallup Symposium. Omaha, NE, 2014, available at http://grc.unl.edu/unlsramgallup-symposium.
Atkin, G., H. Arunachalam, A. Eck, L.-K. Soh, and R. Belli. "Designing an Intelligent Time Diary Instrument: Visualization, Dynamic Feedback, and Error Prevention and Mitigation." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA. , 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Atkin, G., H. Arunachalam, A. Eck, D. Wettlaufer, L.-K. Soh, and R.F. Belli. "Using Machine Learning Techniques to Predict Respondent Type from A Priori Demographic Information." 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.

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