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A
Nardi, Yuval, Robert Hall, and Stephen E. Fienberg. "Achieving both valid and secure logistic regression analysis on aggregated data from different private sources." Journal of Privacy and Confidentiality 4 (2012): 189.
Sadinle, M., R. Hall, and S. E. Fienberg. "Approaches to Multiple Record Linkage." In Proceedings of the 58th World Statistical Congress, 1064-1071. Dublin: International Statistical Institute, 2011, available at http://2011.isiproceedings.org/papers/450092.pdf.
B
Steorts, Rebecca C., Rob Hall, and Stephen E. Fienberg. A Bayesian Approach to Graphical Record Linkage and De-duplication, arXiv. 1312.4645, 2013, available at https://arxiv.org/abs/1312.4645.
Steorts, Rebecca C., Rob Hall, and Stephen E. Fienberg. "A Bayesian Approach to Graphical Record Linkage and Deduplication." Journal of the American Statistical Association 111 (2016): 1660-1672. DOI: 10.1080/01621459.2015.1105807, available at http://dx.doi.org/10.1080/01621459.2015.1105807.
Hall, R., R. Steorts, and S. E. Fienberg. "Bayesian Parametric and Nonparametric Inference for Multiple Record Likage." In Modern Nonparametric Methods in Machine Learning Workshop. NIPS, 2012, available at http://www.stat.cmu.edu/NCRN/PUBLIC/files/beka_nips_finalsub4.pdf.
C
Fosdick, B. K., Maria DeYoreo, and J. P. Reiter. Categorical data fusion using auxiliary information. arXiv 1506.05886, 2015, available at http://arxiv.org/abs/1506.05886.
Fosdick, B. K., M. De Yoreo, and J. P. Reiter. "Categorical data fusion using auxiliary information." Annals of Applied Statistics 10 (2016): 1907-1929. DOI: 10.1214/16-AOAS925, available at http://projecteuclid.org/euclid.aoas/1483606845.
Spielman, S. E., D. Folch, and N. Nagle. "Causes and Patterns of Uncertainty in the American Community Survey." Applied Geography 46 (2014): 147-157. DOI: DOI: 10.1016/j.apgeog.2013.11.002 http://dx.doi.org/10.1016/j.apgeog.2013.11.002, available at http://www.sciencedirect.com/science/article/pii/S0143622813002518.
Fienberg, S. E.. "Comment: Innovations Associated with Multiple Systems Estimation in Human Rights Settings." The American Statistician 67 (2013).
Fienberg, Stephen E.. "Comment on Gates: Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records." Journal of Privacy and Confidentiality 3 (2011): 65.
Steorts, R., S. Ventura, M. Sadinle, S. E. Fienberg, and J. Domingo-Ferrer. "A Comparison of Blocking Methods for Record Linkage." In Privacy in Statistical Databases, 253-268. Vol. 8744. Springer, 2014, available at http://link.springer.com/chapter/10.1007/978-3-319-11257-2_20.
Fienberg, Stephen E.. "Counting the people." In Nathan and Beatrice Keyfitz Lecture in Mathematics and the Social Sciences. Toronto, Canada: Fields Institute, 2012.
D
Xiaolin, Yang, Stephen E. Fienberg, and Alessandro Rinaldo. "Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications." Journal of Privacy and Confidentiality 4 (2012): 101-125.
Ventura, Samuel, Rebecca Nugent, and Erich R. H. Fuchs. "Disambiguating USPTO Inventors with Classification Models Trained on Comparisons of Labeled Inventor Records." In Conference Presentation Classification Society Annual Meeting, Carnegie Mellon University., 2012.
Early, Kirstin, Jennifer Mankoff, and Stephen E. Fienberg. "Dynamic Question Ordering in Online Surveys." Journal of Official Statistics 33, no. 3 (2017). DOI: https://doi.org/10.1515/jos-2017-0030.
E
Weinberg, Daniel, John M. Abowd, Robert F. Belli, Noel Cressie, David C. Folch, Scott H. Holan, Margaret C. Levenstein, Kristen M. Olson, Jerome P. Reiter, Matthew D. Shapiro et al. Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Secure the Future of the Federal Statistical System?. NCRN Coordinating Office Preprint 1813:52650, 2017, available at http://hdl.handle.net/1813/52650.
Flaaen, Aaron. Essays on Multinational Production and the Propagation of Shocks, Department of Economics. Ann Arbor, MI: University of Michigan Ph.D., 2015, available at http://hdl.handle.net/2027.42/111331.
G
Sadinle, Mauricio, and Stephen E. Fienberg. A Generalized Fellegi-Sunter Framework for Multiple Record Linkage with Application to Homicide Records Systems, arXiv. 1205.3217, 2012, available at https://arxiv.org/abs/1205.3217.
Sadinle, M., and S. E. Fienberg. "A Generalized Fellegi-Sunter Framework for Multiple Record Linkage with Application to Homicide Record Systems." Journal of the American Statistical Association 108 (2013): 385-397. DOI: 10.1080/01621459.2012.757231, available at http://dx.doi.org/10.1080/01621459.2012.757231.
H
Ventura, S., R. Nugent, and E. Fuchs. "Hierarchical Linkage Clustering with Distributions of Distances for Large Scale Record Linkage." In Privacy in Statistical Databases (Lecture Notes in Computer Science, edited by J. Domingo-Ferrer, 283-298. Vol. 8744. Springer, 2014.
Wildhaber, M.L., C.K. Wikle, E.H. Moran, C.J. Anderson, K.J. Franz, and R. Dey. "Hierarchical, stochastic modeling across spatiotemporal scales of large river ecosystems and somatic growth in fish populations under various climate models: Missouri River sturgeon example." Geological Society (2015).
Fusaro, V., and Luke H. Shaefer. "How Should We Define Low-Wage Work? An Analysis Using the Current Population Survey." Monthly Labor Review (2016), available at http://www.bls.gov/opub/mlr/2016/article/pdf/how-should-we-define-low-wage-work.pdf.
I
Folch, D., and S. E. Spielman. "Identifying Regions based on Flexible User Defined Constraints." International Journal of Geographic Information Science 28 (2014): 164-184. DOI: 10.1080/13658816.2013.848986, available at http://www.tandfonline.com/doi/abs/10.1080/13658816.2013.848986.
M
Ventura, Samuel, Rebecca Nugent, and Erich R. H. Fuchs. "Methods Matter: Revamping Inventor Disambiguation Algorithms with Classification Models and Labeled Inventor Records." In Conference Presentation Academy of Management Annual Meeting. Boston, MA, 2012.
Fienberg, S. E.. "Moving Toward the New World of Censuses and Large-Scale Sample Surveys: Methodological Developments and Practical Implementations." Journal of Official Statistics (2015).

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