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Sadinle, Mauricio. "Bayesian estimation of bipartite matchings for record linkage." Journal of the American Statistical Association.
Schliep, E.M., A.E. Gelfand, J.S. Clark, and B.J. Tomasek. "Biomass prediction using density dependent diameter distribution models." Annals of Applied Statistics 11, no. 1: 340-361, available at https://projecteuclid.org/euclid.aoas/1491616884.
2012
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.
Holan, S.H.. Bayesian Multiscale Multiple Imputation With Implications to Data Confidentiality., 2012.
Hall, R., R. Steorts, and S. E. Fienberg. "Bayesian Parametric and Nonparametric Inference for Multiple Record Likage." In Modern Nonparametric Methods in Machine Learning Workshop. NIPS, 2012, available at http://www.stat.cmu.edu/NCRN/PUBLIC/files/beka_nips_finalsub4.pdf.
2013
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys, Institute of Public Policy and the Truman School of Public Affairs., 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.
2014
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys., 2014.
Holan, S.H.. "Bayesian Dynamic Time-Frequency Estimation." In Twelfth World Meeting of ISBA. Cancun, Mexico: ISBA, 2014.
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.
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.
DeYoreo, M., and A. Kottas. Bayesian Nonparametric Modeling for Multivariate Ordinal Regression. ArXiv 1408.1027, 2014, available at http://arxiv.org/abs/1408.1027.
Porter, A.T.. Big Data Methodology Applied to Small Area Estimation., 2014.
2015
Yang, W. H., C.K. Wikle, S.H. Holan, K. Sudduth, and D.B. Meyers. "Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors." Statistica Sinica 25 (2015). DOI: 10.5705/ss.2013.245w , available at http://www3.stat.sinica.edu.tw/preprint/SS-13-245w_Preprint.pdf.
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.
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.

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