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P
Porter, A. T., S.H. Holan, C.K. Wikle, and N. Cressie. "Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates." Spatial Statistics 10 (2014): 27-42, available at http://arxiv.org/pdf/1303.6668v3.pdf.
Porter, A.T.. Big Data Methodology Applied to Small Area Estimation., 2014.
Porter, A.T., S.H. Holan, and C.K. Wikle. "Multivariate Spatial Hierarchical Bayesian Empirical Likelihood Methods for Small Area Estimation." STAT 4, no. 1 (2015): 108-116. DOI: 10.1002/sta4.81, available at http://dx.doi.org/10.1002/sta4.81.
Porter, A.T., and J. Oleson. "A CAR model for multiple outcomes on mismatched lattices." Spatial and Spatio-Temporal Epidemiology 11 (2014): 79-88. DOI: 10.1016/j.sste.2014.08.001, available at http://www.sciencedirect.com/science/article/pii/S1877584514000604.
Porter, A.T.. "Flexible Bayesian Methodology for Multivariate Spatial Small Area Estimation." In Joint Statistical Meetings 2014. Boston, MA, 2014.
Porter, A.T., C.K. Wikle, and S.H. Holan. "Small Area Estimation via Multivariate Fay-Herriot Models With Latent Spatial Dependence." Australian & New Zealand Journal of Statistics 57 (2015): 15-29, available at http://arxiv.org/abs/1310.7211.
Porter, A.T., S.H. Holan, and C.K. Wikle. "Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models." Journal of Statistical Planning and Inference 165 (2015): 78-90. DOI: 10.1016/j.jspi.2015.04.002.
Porter, A.T.. Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates., 2013.
Porter, A.T.. "Flexible Semiparametric Hierarchical Spatial Models." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
Porter, A.T.. A Survey of Contemporary Spatial Models for Small Area Estimation., 2014.
Powell, R.J., and A. Kirchner. "Achieving balance: Understanding the relationship between complexity and response quality." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA, 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Q
Quick, Harrison, Scott Holan, Christopher Wikle, and Jerry Reiter. NCRN Meeting Fall 2014: Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography. NCRN Coordinating Office Preprint 1813:37750, 2014, available at http://hdl.handle.net/1813/37750.
Quick, H., S.H. Holan, and C.K. Wikle. "Generating Partially Synthetic Geocoded Public Use Data with Decreased Disclosure Risk Using Differential Smoothing." Journal of the Royal Statistical Society - Series A (2016), available at https://arxiv.org/abs/1507.05529.
Quick, H., S. H. Holan, C. K. Wikle, and J. P. Reiter. "Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." ArXiv, no. 1407.7795 (2015), available at http://arxiv.org/abs/1407.7795.
Quick, H.. "A Fully Bayesian Approach for Generating Synthetic Marks and Geographies for Confidential Data." In International Indian Statistical Association. IISA, 2014.
Quick, Harrison, Scott H. Holan, Christopher K. Wikle, and Jerome P. Reiter. "Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." Spatial Statistics 14 (2015): 439-451. DOI: 10.1016/j.spasta.2015.07.008, available at http://www.sciencedirect.com/science/article/pii/S2211675315000718.
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Ransom, T.. Dynamic Models of Human Capital Accumulation (Ph.D. Thesis), Economics. Duke University Ph.D., 2015, available at http://dukespace.lib.duke.edu/dspace/handle/10161/9929.
Redding, Stephen J., and David E. Weinstein. NCRN Meeting Fall 2016: Scanner Data and Economic Statistics: A Unified Approach. University of Michigan Preprint 1813:45821, 2016, available at http://hdl.handle.net/1813/45821.
Reiter, J. P., Q. Wang, and B. Zhang. "Bayesian estimation of disclosure risks for multiply imputed, synthetic data." Journal of Privacy and Confidentiality 6, no. 1 (2014), available at http://repository.cmu.edu/jpc/vol6/iss1/2.
Reiter, Jerry. NCRN Meeting Spring 2017: Differentially Private Verification of Regression Model Results. NCRN Coordinating Office Preprint 1813:52167, 2016, available at http://hdl.handle.net/1813/52167.
Reiter, Jerry. Differentially Private Verification of Regression Model Results. NCRN Coordinating Office Preprint 1813:52167, 2016, available at http://hdl.handle.net/1813/52167.
Reiter, J.P., and S.K. Kinney. "Inferentially valid partially synthetic data: Generating from posterior predictive distributions not necessary." Journal of Official Statistics 28 (2012): 583-590.
Reiter, J.P.. NCRN Meeting Spring 2015: A Vision for the Future of Data Access. NCRN Coordinating Office Preprint 1813:40181, 2015, available at http://hdl.handle.net/1813/40181.
Reiter, J. P., T. Schifeling, and M. De Yoreo. "Data fusion for correcting measurement errors." (Submitted).
Romanosky, A., D. Hoffman, and A. Acquisti. "Empirical Analysis of Data Breach Litigation." Journal of Empirical Legal Studies 11 (2013): 74-104.

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