Documents
] "Evaluation of diagnostics for hierarchical spatial statistical models." In Geometry Driven Statistics, edited by I.L. Dryden and J.T. Kent, 241-256. Chinchester: Wiley, 2015, available at http://niasra.uow.edu.au/content/groups/public/@web/@inf/@math/documents/doc/uow169240.pdf.
"Comparing and Selecting Predictors Predictors Using Local Criteria." In International Workshop on Recent Advances in Statistical Inference: Theory and Case Studies. Padua, Italy: International Workshop on Recent Advances in Statistical Inference: Theory and Case Studies, 2013.
"Bayesian Hierarchical Statistical SIRS Models." Statistical Methods and Applications 23 (2015): 601-646. DOI: 10.1007/s10260-014-0280-9.
"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.
"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: Spatial sampling designs depend as much on “how much?” and “why?” as on “where?”." Bayesian Analysis (2015).
"Comparing and selecting spatial predictors using local criteria." Test 24, no. 1 (2015): 1-28. DOI: 10.1007/s11749-014-0415-1, available at http://dx.doi.org/10.1007/s11749-014-0415-1.
"A Comparison of Spatial Predictors when Datasets Could be Very Large." ArXiv, no. 1410.7748 (2014), available at http://arxiv.org/abs/1410.7748.
"Figures of merit for simultaneous inference and comparisons in simulation experiments." Stat 4, no. 1 (2015): 196-211. DOI: 10.1002/sta4.88, available at http://onlinelibrary.wiley.com/doi/10.1002/sta4.88/epdf.
"Hierarchical Spatio-Temporal Models and Survey Research." Statistics Views (2013), available at http://www.statisticsviews.com/details/feature/4730991/Hierarchical-Spatio-Temporal-Models-and-Survey-Research.html.
"Hierarchical Statistical Modeling of Big Spatial Datasets Using the Exponential Family of Distributions." Spatial Statistics 4 (2013): 14-44. DOI: 10.1016/j.spasta.2013.02.002, available at http://www.sciencedirect.com/science/article/pii/S2211675313000055.
"Hot enough for you? A spatial exploratory and inferential analysis of North American climate-change projections." Mathematical Geosciences (2015). DOI: 10.1007/s11004-015-9607-9, available at http://dx.doi.org/10.1007/s11004-015-9607-9.
"Multivariate Spatial Covariance Models: A Conditional Approach." (2015), available at https://arxiv.org/abs/1504.01865.
"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.
"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.
"Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates." Spatial Statistics 10 (2014): 27-42, available at http://arxiv.org/pdf/1303.6668v3.pdf.
Bayesian inference for the Spatial Random Effects Model, Department of Statistics, Macquarie University. Macquarie University, 2013.
Hierarchical Statistical Modeling of Big Spatial Datasets Using the Exponential Family of Distributions. The Ohio State University 879, 2012.
How can survey estimates of small areas be improved by leveraging social-media data?, The Survey Statistician. 68, 2013, available at http://isi.cbs.nl/iass/N68.pdf.
Some Historical Remarks on Spatial Statistics, Spatio-Temporal Statistics, Reading Group, University of Missouri., 2013.
Statistics for Spatio-Temporal Data, Invited One-Day Short Course at the U.S. Census Bureau., 2013.