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Journal Article
Si, Yajuan, Jerome P. Reiter, and Sunshine D. Hillygus. "Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples." ArXiv, no. 1509.02124 (2015), available at http://arxiv.org/abs/1509.02124.
Manrique-Vallier, Daniel, and Jerome P. Reiter. "Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1231612, available at http://dx.doi.org/10.1080/01621459.2016.1231612.
T. White, Kirk, Jerome P. Reiter, and Amil Petrin. "Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion." Review of Economics and Statistics (Submitted). DOI: 10.1162/REST_a_00678 , available at http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00678.
Murray, Jared S., and Jerome P. Reiter. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1174132, available at http://dx.doi.org/10.1080/01621459.2016.1174132.
Sadinle, Mauricio, and Jerome P. Reiter. "Sequential identification of nonignorable missing data mechanisms." Statistica Sinica (Submitted). DOI: 10.5705/ss.202016.0328.
Report
DeYoreo, Maria, and Jerome P. Reiter. Bayesian mixture modeling for multivariate conditional distributions. ArXiv 1606.04457, 2016, available at http://arxiv.org/abs/1606.04457.