Documents
] "Web Surveys, Online Panels, and Paradata: Automating Adaptive Design." In NSF-Census Research Network (NCRN) Spring Meeting. Washington, DC, 2014, available at http://www.ncrn.info/event/ncrn-meeting-spring-2014.
"What are You Doing Now? Activity Level Responses and Errors in the American Time Use Survey." Journal of Survey Statistics and Methodology 2, no. 4 (2014).
"Why data availability is such a hard problem." Statistical Journal of the International Association for Official Statistics 30, no. 2 (2014).
"Would a Privacy Fundamentalist Sell their DNA for \$1000... if Nothing Bad Happened Thereafter? A Study of the Western Categories, Behavior Intentions, and Consequences." In Proceedings of the Tenth Symposium on Usable Privacy and Security (SOUPS). New York, NY: ACM, 2014, available at https://www.usenix.org/conference/soups2014/proceedings/presentation/woodruff.
"Accounting for nonignorable unit nonresponse and attrition in panel studies with refreshment samples." Journal of Survey Statistics and Methodology 3, no. 3 (2015): 265-295. DOI: 10.1093/jssam/smv007, available at http://jssam.oxfordjournals.org/content/3/3/265.abstract.
"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.
"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.
"Bayesian Hierarchical Statistical SIRS Models." Statistical Methods and Applications 23 (2015): 601-646. DOI: 10.1007/s10260-014-0280-9.
"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.
"Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." ArXiv, no. 1408.2757 (2015), available at http://arxiv.org/abs/1408.2757.
"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.
"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.
"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.
"Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models." Journal of Statistical Planning and Inference 165 (2015): 78-90. DOI: 10.1016/j.jspi.2015.04.002.
"Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2015). DOI: 10.1080/01621459.2015.1117471, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2015.1117471.
"Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2015). DOI: 10.1080/01621459.2015.1117471, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2015.1117471.
"Bayesian Spatial Change of Support for Count–Valued Survey Data." ArXiv, no. 1405.7227 (2015), available at http://arxiv.org/abs/1405.7227.
Blocking Methods Applied to Casualty Records from the Syrian Conflict, ArXiv. 1510.07714, 2015, available at http://arxiv.org/abs/1510.07714.
"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.
Categorical data fusion using auxiliary information. arXiv 1506.05886, 2015, available at http://arxiv.org/abs/1506.05886.
"Change in Visible Impervious Surface Area in Southeastern Michigan Before and After the “Great Recession:” Spatial Differentiation in Remotely Sensed Land-Cover Dynamics." Population and Environment 36, no. 3 (2015): 331-355. DOI: 10.1007/s11111-014-0219-y, available at http://link.springer.com/article/10.1007%2Fs11111-014-0219-y.
"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.
"Comment on Article by Ferreira and Gamerman." Bayesian Analysis 10, no. 3 (2015): 741-748. DOI: doi:10.1214/15-BA944B, available at http://projecteuclid.org/euclid.ba/1429880217.
"Comment on ``Semiparametric Bayesian Density Estimation with Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition" by Finncane, M. M., Paciorek, C. J., Stevens, G. A., and Ezzati, M." Journal of the American Statistical Association (2015).
"Comment: Spatial sampling designs depend as much on “how much?” and “why?” as on “where?”." Bayesian Analysis (2015).