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Author Title Type [ Year(Desc)]
2013
Si, Y., and J.P. Reiter. "Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys." Journal of Educational and Behavioral Statistics 38 (2013): 499-521, available at http://www.stat.duke.edu/ jerry/Papers/StatinMed14.pdf.
Olson, K.. "Paradata for Measurement Error Evaluation." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
McCutcheon, A.L., and T. Al Baghal. "Predicting survey breakoff in Internet survey panels." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Belli, R.F., L.D. Miller, L-K Soh, and T. Al Baghal. "Predicting the occurrence of respondent retrieval strategies in calendar interviewing: The quality of retrospective reports." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Belli, R.F., L.D. Miller, L-K Soh, and T. Al Baghal. "Predicting the occurrence of respondent retrieval strategies in calendar interviewing: The quality of autobiographical recall in surveys." In Biennial conference of the Society for Applied Research in Memory and Cognition. Rotterdam, Netherlands, 2013, available at http://static1.squarespace.com/static/504170d6e4b0b97fe5a59760/t/52457a8be4b0012b7a5f462a/1380285067247/SARMAC_X_PaperJune27.pdf.
Li, Ping, and John Abowd. Presentation: Predicting Multiple Responses with Boosting and Trees. Cornell University Preprint 1813:40255, 2013, available at http://hdl.handle.net/1813/40255.
Ruther, N., P. Phipps, and R.F. Belli. "The process of turning audit trails from a CATI survey into useful data: Interviewer behavior paradata in the American Time Use Survey." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Holan, S.H.. Recent Advances in Spatial Methods for Federal Surveys., 2013.
Flaaen, Aaron, Matthew Shapiro, and Isaac Sorkin. Reconsidering the Consequences of Worker Displacements: Survey versus Administrative Measurements. University of Michigan mimeo, 2013, available at http://www-personal.umich.edu/~shapiro/papers/ReconsideringDisplacements.pdf.
Bradley, J.R.. A Reduced Rank Model for Analyzing Multivariate Spatial Datasets, University of Missouri-Kansas City. University of Missouri-Kansas City, 2013.
Antenucci, Dolan, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, and Christopher Ré. "Ringtail: a generalized nowcasting system." WebDB 6 (2013): 1358-1361, available at http://cs.stanford.edu/people/chrismre/papers/Ringtail-VLDB-demo.pdf.
Antenucci, Dolan, Michael J. Cafarella, Margaret C. Levenstein, Christopher Ré, and Matthew Shapiro. "Ringtail: Feature Selection for Easier Nowcasting." WebDB (2013): 49-54, available at http://www.cs.stanford.edu/people/chrismre/papers/webdb_ringtail.pdf.
H. Shaefer, Luke, and K. Edin. "Rising extreme poverty in the United States and the response of means-tested transfers." Social Service Review 87, no. 2 (2013): 250-268. DOI: 10.1086/671012, available at http://www.jstor.org/stable/10.1086/671012.
Adjerid, I., A. Acquisti, and G. Loewenstein. "Sleights of Privacy: Framing, Disclosures, and the Limits of Transparency." In Proceedings of the Ninth Symposium on Usable Privacy and Security (SOUPS). New York, NY: ACM, 2013.
Cressie, N.. Some Historical Remarks on Spatial Statistics, Spatio-Temporal Statistics, Reading Group, University of Missouri., 2013.
Murray, Jared S.. Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables (Ph.D. Thesis), Department of Statistical Science. Duke University Ph.D., 2013, available at http://dukespace.lib.duke.edu/dspace/handle/10161/8253.
Porter, A.T.. Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates., 2013.
Holan, S., and C. Wikle. "Spatio-temporal Design: Advances in Efficient Data Acquisition." In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by Jorge Mateu and Werner Muller, 269-284. Wiley, 2013.
Wikle, C.K.. Statistics and the Environment: Overview and Challenges., 2013.
Cressie, N.. Statistics for Spatio-Temporal Data, Invited One-Day Short Course at the U.S. Census Bureau., 2013.
Phillips, A.L., T. Al Baghal, and R.F. Belli. "Troubles with time-use: Examining potential indicators of error in the American Time Use Survey." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Steorts, Rebecca C., and Malay Ghosh. "Two-stage Bayesian benchmarking as applied to small area estimation." TEST 22, no. 4 (2013).
Stuart, Leonard Cleve. User Modeling via Machine Learning and Rule-based Reasoning to Understand and Predict Errors in Survey Systems. University of Nebraska-Lincoln Masters, 2013, available at http://digitalcommons.unl.edu/computerscidiss/70/.
Spielman, S. E., and J. Logan. "Using High Resolution Population Data to Identify Neighborhoods and Determine their Boundaries." Annals of the Association of American Geographers 103 (2013): 67-84. DOI: 10.1080/00045608.2012.685049, available at http://www.tandfonline.com/doi/abs/10.1080/00045608.2012.685049.
Wilson, C. R.. Using Satellite Imagery to Evaluate and Analyze Socioeconomic Changes Observed with Census Data. Ph.D., 2013.

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