Documents

Export 546 results:
Author Title Type [ Year(Desc)]
2015
Atkin, G., H. Arunachalam, A. Eck, D. Wettlaufer, L.-K. Soh, and R.F. Belli. "Using Machine Learning Techniques to Predict Respondent Type from A Priori Demographic Information." 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.
Vilhuber, Lars, and Javier Miranda. Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics. Cornell University Preprint 1813:42339, 2015, available at http://hdl.handle.net/1813/42339.
McCutcheon, Allan L.. "Web Surveys, Online Panels, and Paradata: Automating Responsive Design." In 2015 Joint Program in Survey Methodology (JPSM) Distinguished Lecture. University of Maryland. College Park, MD, 2015, available at http://www.jpsm.umd.edu/.
Fusaro, V.. "Who’s Left Out? Characteristics of Households in Economic Need not Receiving Public Support." Journal of Sociology and Social Welfare 42, no. 3 (2015): 65-85.
Olson, K., and J.D. Smyth. "Why Do Interviewers Speed Up? An Examination of Changes in Interviewer Behaviors over the Course of the Survey Field Period." 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.
2016
Caldwell, Carol, and Katherine Jenny Thompson. 2017 Economic Census: Towards Synthetic Data Sets. NCRN Coordinating Office Preprint 1813:52165, 2016, available at http://hdl.handle.net/1813/52165.
McClure, D., and J. P. Reiter. "Assessing disclosure risks for synthetic data with arbitrary intruder knowledge." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 109-126. DOI: 10.3233/SJI-160957, available at http://content.iospress.com/download/statistical-journal-of-the-iaos/sji957.
De Yoreo, M., and A. Kottas. "A Bayesian nonparametric Markovian model for nonstationary time series." Statistics and Computing (2016).
Steorts, Rebecca C., Rob Hall, and Stephen E. Fienberg. "A Bayesian Approach to Graphical Record Linkage and Deduplication." Journal of the American Statistical Association 111 (2016): 1660-1672. DOI: 10.1080/01621459.2015.1105807, available at http://dx.doi.org/10.1080/01621459.2015.1105807.
Bradley, J.R., S.H. Holan, and C.K. Wikle. "Bayesian Hierarchical Models with Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family." Journal of the American Statistical Association - T&M. (2016), available at https://arxiv.org/abs/1701.07506.
Si, Y., J. P. Reiter, and D. S. Hillygus. "Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples." Annals of Applied Statistics 10 (2016): 118-143. DOI: 10.1214/15-AOAS876, available at http://projecteuclid.org/euclid.aoas/1458909910.
Yang, W.H., S.H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." Bayesian Analysis (2016): 977-1003, available at https://arxiv.org/abs/1408.2757.
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.
Hahn, P. R., J. S. Murray, and I. Manolopoulou. "A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct." Journal of the American Statistical Association 111, no. 513 (2016): 14-26. DOI: 10.1080/01621459.2015.1084307, available at http://www.tandfonline.com/doi/full/10.1080/01621459.2015.1084307.
Manrique-Vallier, Daniel, and Jerome P. Reiter. "Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1231612, available at http://dx.doi.org/10.1080/01621459.2016.1231612.
Bradley, J.R., C.K. Wikle, and S.H. Holan. "Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2016): 472-487, available at https://arxiv.org/abs/1405.7227.
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.
McElroy, T.S., and S.H. Holan. "Computation of the Autocovariances for Time Series with Multiple Long-Range Persistencies." Computational Statistics and Data Analysis (2016): 44-56, available at http://www.sciencedirect.com/science/article/pii/S0167947316300202.
Lee, Jinyoung, Ben Seloske, Ana Lucía Có Cazar, Adam Eck, Antje Kirchner, and Robert F. Belli. Data management and analytic use of paradata: SIPP-EHC audit trails., 2016.
Schmutte, Ian M.. "Differentially private publication of data on wages and job mobility." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 81-92. DOI: 10.3233/SJI-160962, available at http://content.iospress.com/articles/statistical-journal-of-the-iaos/sji962.
Reiter, Jerry. Differentially Private Verification of Regression Model Results. NCRN Coordinating Office Preprint 1813:52167, 2016, available at http://hdl.handle.net/1813/52167.
Olson, Kristen, Antje Kirchner, and Jolene D. Smyth. "Do Interviewers with High Cooperation Rates Behave Differently? Interviewer Cooperation Rates and Interview Behaviors." Survey Practice 9, no. 2 (2016): no pp., available at http://www.surveypractice.org/index.php/SurveyPractice/article/view/351.
Lavetti, Kurt, and Ian M. Schmutte. Estimating Compensating Wage Differentials with Endogenous Job Mobility., 2016, available at http://digitalcommons.ilr.cornell.edu/ldi/29/.
Quick, H., S.H. Holan, and C.K. Wikle. "Generating Partially Synthetic Geocoded Public Use Data with Decreased Disclosure Risk Using Differential Smoothing." Journal of the Royal Statistical Society - Series A (2016), available at https://arxiv.org/abs/1507.05529.

Pages