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De Yoreo, M., and A. Kottas. "A Bayesian nonparametric Markovian model for nonstationary time series." Statistics and Computing (2016).
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.
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.
DeYoreo, Maria, and Athanasios Kottas. A Bayesian nonparametric Markovian model for nonstationary time series. ArXiv 1601.04331, 2016, available at http://arxiv.org/abs/1601.04331.
DeYoreo, M., and A. Kottas. Bayesian Nonparametric Modeling for Multivariate Ordinal Regression. ArXiv 1408.1027, 2014, available at http://arxiv.org/abs/1408.1027.
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Countryman, A., A.L. Cordova-Cazar, C.E. Deal, and R.F. Belli. "Call back later: The association of recruitment contact and error in the American Time Use Survey." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA, 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Cressie, N., S. Burden, W. Davis, P. Krivitsky, P. Mokhtarian, T. Seusse, and A. Zammit-Mangion. "Capturing multivariate spatial dependence: Model, estimate, and then predict." Statistical Science 30, no. 2 (2015): 170-175. DOI: 10.1214/15-STS517, available at http://projecteuclid.org/euclid.ss/1433341474.
Fosdick, B. K., Maria DeYoreo, and J. P. Reiter. Categorical data fusion using auxiliary information. arXiv 1506.05886, 2015, available at http://arxiv.org/abs/1506.05886.
Fosdick, B. K., M. De Yoreo, and J. P. Reiter. "Categorical data fusion using auxiliary information." Annals of Applied Statistics 10 (2016): 1907-1929. DOI: 10.1214/16-AOAS925, available at http://projecteuclid.org/euclid.aoas/1483606845.
Deal, C.E., A. Kirchner, A.L. Cordova-Cazar, L. Ellyne, and R.F. Belli. "Changing ‘Who’ or ‘Where’: Implications for Data Quality in the American Time Use Survey." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Steorts, R., S. Ventura, M. Sadinle, S. E. Fienberg, and J. Domingo-Ferrer. "A Comparison of Blocking Methods for Record Linkage." In Privacy in Statistical Databases, 253-268. Vol. 8744. Springer, 2014, available at http://link.springer.com/chapter/10.1007/978-3-319-11257-2_20.
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Reiter, J. P., T. Schifeling, and M. De Yoreo. "Data fusion for correcting measurement errors." (Submitted).
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Charest, Anne-Sophie. "Empirical Evaluation of Statistical Inference from Differentially-Private Contingency Tables." In Privacy in Statistical Databases, edited by Josep Domingo-Ferrer and Ilenia Tinnirello, 257-272. Vol. 7556. Springer, 2012.
Cressie, N., and S. Burden. "Evaluation of diagnostics for hierarchical spatial statistical models." In Geometry Driven Statistics, edited by I.L. Dryden and J.T. Kent, 241-256. Chinchester: Wiley, 2015, available at http://niasra.uow.edu.au/content/groups/public/@web/@inf/@math/documents/doc/uow169240.pdf.
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Barrientos, A. F., A. Bolton, T. Balmat, J. P. Reiter, A. Machanavajjhala, Y. Chen, C. Kneifel, M. DeLong, and J. M. de Figueiredo. "A framework for sharing confidential research data, applied to investigating differential pay by race in the U. S. government." (Submitted).
Barrientos, A. F., A. Bolton, T. Balmat, J. P. Reiter, A. Machanavajjhala, Y. Chen, C. Kneifel, M. DeLong, and J. M. de Figueiredo. "A framework for sharing confidential research data, applied to investigating differential pay by race in the U. S. government." (Submitted).
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Deng, Yiting, Sunshine D. Hillygus, Jerome P. Reiter, Yajuan Si, and Siyu Zheng. "Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples." Statist. Sci. 28 (2013): 238-256. DOI: 10.1214/13-STS414, available at http://dx.doi.org/10.1214/13-STS414.
Wikle, C.K., and M.B. Hooten. "Hierarchical Agent-Based Spatio-Temporal Dynamic Models for Discrete Valued Data." In Handbook of Discrete-Valued Time Series, edited by R. Davis, S. Holan, R. Lund and N. Ravishanker. Boca Raton, FL.: Chapman and Hall/CRC Press, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
Holan, S.H., and C.K. Wikle. "Hierarchical Dynamic Generalized Linear Mixed Models for Discrete-Valued Spatio-Temporal Data." In Handbook of Discrete-Valued Time Series, edited by R. Davis, S. Holan, R. Lund and N Ravishanker. Boca Raton, FL: Chapman and Hall/CRC Press, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
Ventura, S., R. Nugent, and E. Fuchs. "Hierarchical Linkage Clustering with Distributions of Distances for Large Scale Record Linkage." In Privacy in Statistical Databases (Lecture Notes in Computer Science, edited by J. Domingo-Ferrer, 283-298. Vol. 8744. Springer, 2014.
Wildhaber, M.L., C.K. Wikle, E.H. Moran, C.J. Anderson, K.J. Franz, and R. Dey. "Hierarchical, stochastic modeling across spatiotemporal scales of large river ecosystems and somatic growth in fish populations under various climate models: Missouri River sturgeon example." Geological Society (2015).
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Lund, R., S.H. Holan, and J. Livsey. "Long Memory Discrete--Valued Time Series." In Handbook of Discrete-Valued Time Series. Chapman and Hall, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
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Kirchner, Antje, Robert F. Belli, Caitlin E. Deal, and Ana Lucia Córdova-Cazar. Memory Gaps in the American Time Use Survey. Are Respondents Forgetful or is There More to it?.
DeYoreo, M., and A. Kottas. Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California. ArXiv 1507.01242, 2015, available at http://arxiv.org/abs/1507.01242.
Linero, A.R., J.R. Bradley, and A. Desai. "Multi-rubric Models for Ordinal Spatial Data with Application to Online Ratings from Yelp." (2017), available at https://arxiv.org/abs/1706.03012.

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