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[ Author] Title Type Year Filters: First Letter Of Last Name is B [Clear All Filters]
The SAR model for very large datasets: A reduced-rank approach." Econometrics 3, no. 2 (2015): 317-338. DOI: 10.3390/econometrics3020317, available at http://www.mdpi.com/2225-1146/3/2/317.
"Perceptions, behaviors and satisfaction related to public safety for persons with disabilities in the United States." Criminal Justice Review 1, no. 18 (2015).
"NCRN Meeting Spring 2016: Attitudes Towards Geolocation-Enabled Census Forms. Carnegie-Mellon University Preprint 1813:43889, 2016, available at http://hdl.handle.net/1813/43889.
Misplaced confidences: Privacy and the control paradox." Social Psychological and Personality Science 4 (2013): 340-347. DOI: 10.1177/1948550612455931.
"The Economics of Privacy." In The Oxford Handbook of the Digital Economy, edited by Martin Peitz and Joel Waldfogel, 547-570. Oxford University Press, 2012.
"NCRN Meeting Spring 2014: Aiming at a More Cost-Effective Census Via Online Data Collection: Privacy Trade-Offs of Geo-Location. NCRN Coordinating Office Preprint 1813:36397, 2014, available at http://hdl.handle.net/1813/36397.
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.
"Survey Fusion for Data that Exhibit Multivariate, Spatio-Temporal Dependencies." In Joint Statistical Meetings 2014., 2014.
"Bayesian Spatial Change of Support for Count–Valued Survey Data." ArXiv, no. 1405.7227 (2015), available at http://arxiv.org/abs/1405.7227.
"Regionalization of Multiscale Spatial Processes using a Criterion for Spatial Aggregation Error." Journal of the Royal Statistical Society -- Series B. (2017), available at https://arxiv.org/abs/1502.01974.
"NCRN Meeting Fall 2014: Mixed Effects Modeling for Multivariate-Spatio-Temporal Areal Data. NCRN Coordinating Office Preprint 1813:37749, 2014, available at http://hdl.handle.net/1813/37749.
The Poisson Change of Support Problem with Applications to the American Community Survey." In Joint Statistical Meetings 2014., 2014.
"Regionalization of Multiscale Spatial Processes using a Criterion for Spatial Aggregation Error." ArXiv, no. 1502.01974 (2015), available at http://arxiv.org/abs/1502.01974.
"Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data. (With Discussion)., arXiv. 1512.07273, 2017, available at https://arxiv.org/abs/1512.07273.
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.
"Multivariate Spatio-Temporal Survey Fusion with Application to the American Community Survey and Local Area Unemployment Statistics." Stat (2016): 224-233, available at http://onlinelibrary.wiley.com/doi/10.1002/sta4.120/full.
"Multiscale Analysis of Survey Data: Recent Developments and Exciting Prospects, Statistics Views., 2015.
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.
"A Comparison of Spatial Predictors when Datasets Could be Very Large." ArXiv, no. 1410.7748 (2014), available at http://arxiv.org/abs/1410.7748.
"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.
"Rejoinder on: Comparing and selecting spatial predictors using local criteria." Test 24, no. 1 (2015): 54-60. DOI: 10.1007/s11749-014-0414-2, available at http://dx.doi.org/10.1007/s11749-014-0414-2.
"Spatio-temporal change of support with application to American Community Survey multi-year period estimates." Stat 4 (2015): 255-270. DOI: 10.1002/sta4.94, available at http://dx.doi.org/10.1002/sta4.94.
"A Reduced Rank Model for Analyzing Multivariate Spatial Datasets, University of Missouri-Kansas City. University of Missouri-Kansas City, 2013.
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.
"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.
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