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Hu, J., R. Mitra, and J.P. Reiter. "Are independent parameter draws necessary for multiple imputation?" The American Statistician 67 (2013): 143-149. DOI: 10.1080/00031305.2013.821953, available at http://www.tandfonline.com/doi/full/10.1080/00031305.2013.821953.
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Manrique-Vallier, D., and J.P. Reiter. "Bayesian estimation of discrete multivariate latent structure models with structural zeros." Journal of Computational and Graphical Statistics 23 (2014): 1061-1079.
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Hu, J., J.P. Reiter, and Q. Wang. "Dirichlet Process Mixture Models for Nested Categorical Data." ArXiv, no. 1412.2282 (2015), available at http://arxiv.org/pdf/1412.2282v3.pdf.
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Manrique-Vallier, D., and J.P. Reiter. "Estimating identification disclosure risk using mixed membership models." Journal of the American Statistical Association 107 (2012): 1385-1394.
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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.
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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.
Si, Y., and J.P. Reiter. "Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys." Journal of Educational and Behavioral Statistics 38 (2013): 499-521, available at http://www.stat.duke.edu/ jerry/Papers/StatinMed14.pdf.
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Kim, H.J., A.F. Karr, and J.P. Reiter. "Statistical Disclosure Limitation in the Presence of Edit Rules." Journal of Official Statistics 31 (2015): 121-138.