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2017
Vilhuber, Lars, and Carl Lagoze. Making Confidential Data Part of Reproducible Research. Labor Dynamics Institute, Cornell University Document 41, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/41/.
Vilhuber, Lars, and Carl Lagoze. Making Confidential Data Part of Reproducible Research. Cornell University Preprint 1813:52474, 2017, available at http://hdl.handle.net/1813/52474.
Vilhuber, Lars, and Carl Lagoze. "Making Confidential Data Part of Reproducible Research." Chance (2017), available at http://chance.amstat.org/2017/09/reproducible-research/.
Abowd, John M., Kevin L. Mckinney, and Ian M. Schmutte. "Modeling Endogenous Mobility in Earnings Determination." Journal of Business & Economic Statistics (2017): 0. DOI: 10.1080/07350015.2017.1356727, available at http://dx.doi.org/10.1080/07350015.2017.1356727.
Abowd, John M., Kevin L. Mckinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination., 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/28/.
Murray, J. S., and J. P. Reiter. "Multiple imputation of missing categorical and continuous outcomes via Bayesian mixture models with local dependence." Journal of the American Statistical Association 111, no. 516 (2017): 1466-1479.
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.
2015
Abowd, John M., Kevin L. McKinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination. Cornell University Preprint 1813:40306, 2015, available at http://hdl.handle.net/1813/40306.
Abowd, John M., Kevin L. McKinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination. NCRN Coordinating Office Preprint 1813:52608, 2015, available at http://hdl.handle.net/1813/52608.
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.
Wikle, C.K.. "Modern Perspectives on Statistics for Spatio-Temporal Data." WIRES Computational Statistics 7, no. 1 (2015): 86-98. DOI: 10.1002/wics.1341, available at http://dx.doi.org/10.1002/wics.1341.
Fienberg, S. E.. "Moving Toward the New World of Censuses and Large-Scale Sample Surveys: Methodological Developments and Practical Implementations." Journal of Official Statistics (2015).
Siddique, J., J. P. Reiter, A. Brincks, R. Gibbons, C. Crespi, and C. H. Brown. "Multiple imputation for harmonizing longitudinal non-commensurate measures in individual participant data meta-analysis." Statistics in Medicine (2015). DOI: 10.1002/sim.6562, available at http://onlinelibrary.wiley.com/doi/10.1002/sim.6562/abstract.
Murray, J. S., and J. P. Reiter. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." arXiv, no. 1410.0438 (2015), available at arxiv.org/abs/1410.0438.
Bradley, J.R., C.K. Wikle, and S.H. Holan. Multiscale Analysis of Survey Data: Recent Developments and Exciting Prospects, Statistics Views., 2015.
Cressie, N., and A. Zammit-Mangion. "Multivariate Spatial Covariance Models: A Conditional Approach." (2015), available at https://arxiv.org/abs/1504.01865.
Porter, A.T., S.H. Holan, and C.K. Wikle. "Multivariate Spatial Hierarchical Bayesian Empirical Likelihood Methods for Small Area Estimation." STAT 4, no. 1 (2015): 108-116. DOI: 10.1002/sta4.81, available at http://dx.doi.org/10.1002/sta4.81.
Bradley, J.R., S.H. Holan, and C.K. Wikle. "Multivariate Spatio-Temporal Models for High-Dimensional Areal Data with Application to Longitudinal Employer-Household Dynamics." Annals of Applied Statistics 9, no. 4 (2015). DOI: 0.1214/15-AOAS862.
Bradley, J. R., S. H. Holan, and C.K. Wikle. "Multivariate Spatio-Temporal Models for High-Dimensional Areal Data with Application to Longitudinal Employer-Household Dynamics." ArXiv, no. 1503.00982 (2015), available at http://arxiv.org/abs/1503.00982.
2014
Eck, A., L. Stuart, G. Atkin, L-K Soh, A.L. McCutcheon, and R.F. Belli. "Making sense of paradata: Challenges faced and lessons learned." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA, 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.

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