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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.
Wu, G., S.H. Holan, C.H. Nilon, and C.K. Wikle. "Bayesian Binomial Mixture Models for Estimating Abundance in Ecological Monitoring Studies." Annals of Applied Statistics 9 (2015): 1-26. DOI: 10.1214/14-AOAS801, available at http://projecteuclid.org/euclid.aoas/1430226082.
Holan, S.H.. "Bayesian Dynamic Time-Frequency Estimation." In Twelfth World Meeting of ISBA. Cancun, Mexico: ISBA, 2014.
Sadinle, Mauricio. "Bayesian estimation of bipartite matchings for record linkage." Journal of the American Statistical Association.
Sadinle, Mauricio. "Bayesian estimation of bipartite matchings for record linkage." Journal of the American Statistical Association 112, no. 518 (2017). DOI: 10.1080/01621459.2016.1148612, available at http://amstat.tandfonline.com/doi/abs/10.1080/01621459.2016.1148612.
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.
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.
Bradley, J.R., S.H. Holan, and C.K. Wikle. "Bayesian Hierarchical Models with Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family." Journal of the American Statistical Association - T&M. (2016), available at https://arxiv.org/abs/1701.07506.
Wu, G., and S.H. Holan. "Bayesian Hierarchical Multi-Population Multistate Jolly-Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program." Journal of the American Statistical Association 112, no. 518 (2017): 471-483. DOI: 10.1080/01621459.2016.1211531, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2016.1211531.
Zhuang, L., and N. Cressie. "Bayesian Hierarchical Statistical SIRS Models." Statistical Methods and Applications 23 (2015): 601-646. DOI: 10.1007/s10260-014-0280-9.
Cressie, N.. Bayesian inference for the Spatial Random Effects Model, Department of Statistics, Macquarie University. Macquarie University, 2013.
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.
Si, Y., J. P. Reiter, and D. S. Hillygus. "Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples." Annals of Applied Statistics 10 (2016): 118-143. DOI: 10.1214/15-AOAS876, available at http://projecteuclid.org/euclid.aoas/1458909910.
Yang, W. H., S. H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." ArXiv, no. 1408.2757 (2015), available at http://arxiv.org/abs/1408.2757.
Yang, W. H., Scott H. Holan, and Christopher K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time–Frequency Analysis." Project Euclid (2015): 27. DOI: 10.1214/15-BA978, available at http://projecteuclid.org/euclid.ba/1445263834.
Yang, W.H., S.H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." Bayesian Analysis (2016): 977-1003, available at https://arxiv.org/abs/1408.2757.
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.
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, 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.
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.
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." Survey Methodology 40 (2014): 125-134, available at http://www.stat.duke.edu/ jerry/Papers/SurvMeth14.pdf.
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.
Wang, J., and S. Holan. "Bayesian Multi-Regime Smooth Transition Regression with Ordered Categorical Variables." Computational Statistics and Data Analysis 56 (2012): 4165-4179. DOI: 10.1016/j.csda.2012.04.018, available at http://dx.doi.org/10.1016/j.csda.2012.04.018.

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