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Author Title Type [ Year(Desc)]
2013
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.
Cressie, N.. Bayesian inference for the Spatial Random Effects Model, Department of Statistics, Macquarie University. Macquarie University, 2013.
Banerjee, A., J. Murray, and D. B. Dunson. "Bayesian learning of joint distributions of objects." In Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS) 2013., 2013, available at http://jmlr.csail.mit.edu/proceedings/papers/v31/banerjee13a.html.
Wu, G.. "Bayesian Modeling in the Era of Big Data: the Role of High-Throughput and High-Performance Computing." In The Extreme Science and Engineering Discovery Environment Conference. San Diego, CA, 2013.
Manrique-Vallier, D., and J. P. Reiter. Bayesian multiple imputation for large-scale categorical data with structural zeros. Duke University / National Institute of Statistical Sciences (NISS) Preprint 1813:34889, 2013, available at http://hdl.handle.net/1813/34889.
Li, Ping, Anshumali Shrivastava, and Arnd Christian König. b-Bit Minwise Hashing in Practice. Cornell University Preprint 1813:37986, 2013, available at http://hdl.handle.net/1813/37986.
Li, Ping, Anshumali Shrivastava, and Arnd Christian König. "b-Bit Minwise Hashing in Practice." In Internetware'13., 2013, available at http://www.nudt.edu.cn/internetware2013/.
Shrivastava, Anshumali, and Ping Li. "Beyond Pairwise: Provably Fast Algorithms for Approximate K-Way Similarity Search." In Neural Information Processing Systems (NIPS)., 2013.
Wu, G.. "Binomial Mixture Models for Urban Ecological Monitoring Studies Using American Community Survey Demographic Covariates." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
Spielman, S.E., and Patrick Harrison. "The Co-Evolution of Residential Segregation and the Built Environment at the Turn of the 20th Century: A Schelling Model." In Transactions in GIS., 2013.
Olson, K., and B. Parkhurst. "Collecting paradata for measurement error evaluation." In Improving Surveys with Paradata: Analytic Uses of Process Information, edited by Frauke Kreuter, 43-72. Hoboken, NJ.: John Wiley and Sons, 2013.
Fienberg, S. E.. "Comment: Innovations Associated with Multiple Systems Estimation in Human Rights Settings." The American Statistician 67 (2013).
Cressie, N.. "Comparing and Selecting Predictors Predictors Using Local Criteria." In International Workshop on Recent Advances in Statistical Inference: Theory and Case Studies. Padua, Italy: International Workshop on Recent Advances in Statistical Inference: Theory and Case Studies, 2013.
Acquisti, A.. "Complementary Perspectives on Privacy and Security: Economics." In IEEE Security & Privacy, 93-95. Vol. 11., 2013.
Manski, Charles F.. Credible interval estimates for official statistics with survey nonresponse. Northwestern University Preprint 1813:34447, 2013, available at http://hdl.handle.net/1813/34447.
Lagoze, Carl, William C. Block, Jeremy Williams, John M. Abowd, and Lars Vilhuber. "Data Management of Confidential Data." International Journal of Digital Curation 8 (2013): 265-278. DOI: 10.2218/ijdc.v8i1.259.
Wang, Mengyang, Leah Ruppanner, and Allan L. McCutcheon. "Do ‘Don’t Know’ Responses = Survey Satisficing? Evidence from the Gallup Panel Paradata." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
H. Shaefer, Luke, Xiaoqing Song, and Trina R. William Shanks. "Do single mothers in the United States use the Earned Income Tax Credit to reduce unsecured debt?" Review of Economics of the Household (2013): 659-680.
Wikle, C.K.. "Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
Yang, W.H., C.K. Wikle, S.H. Holan, and M.L. Wildhaber. "Ecological Prediction With Nonlinear Multivariate Time-Frequency Functional Data Models." Journal of Agricultural, Biological, and Environmental Statistics 18 (2013). DOI: 10.1007/s13253-013-0142-1, available at http://link.springer.com/article/10.1007/s13253-013-0142-1.
Romanosky, A., D. Hoffman, and A. Acquisti. "Empirical Analysis of Data Breach Litigation." Journal of Empirical Legal Studies 11 (2013): 74-104.
Lagoze, Carl, Jeremy Willliams, and Lars Vilhuber. "Encoding Provenance Metadata for Social Science Datasets." In Metadata and Semantics Research, edited by Emmanouel Garoufallou and Jane Greenberg, 123-134. Vol. 390. Communications in Computer and Information Science 390. Springer International Publishing, 2013, available at http://dx.doi.org/10.1007/978-3-319-03437-9_13.
Lagoze, Carl, William C. Block, Jeremy Williams, and Lars Vilhuber. "Encoding Provenance of Social Science Data: Integrating PROV with DDI." In 5th Annual European DDI User Conference., 2013.
Lagoze, Carl, William C. Block, Jeremy Williams, John Abowd, and Lars Vilhuber. Encoding Provenance of Social Science Data: Integrating PROV with DDI. Cornell University Preprint 1813:34443, 2013, available at http://hdl.handle.net/1813/34443.
Steorts, Rebecca C., and Malay Ghosh. "On estimation of mean squared errors of benchmarked and empirical bayes estimators." Statistica Sinica 23 (2013): 749-767.

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