Documents
] "Hierarchical, stochastic modeling across spatiotemporal scales of large river ecosystems and somatic growth in fish populations under various climate models: Missouri River sturgeon example." Geological Society (2015).
"Modern Perspectives on Statistics for Spatio-Temporal Data." WIRES Computational Statistics 7, no. 1 (2015): 86-98. DOI: 10.1002/wics.1341, available at http://dx.doi.org/10.1002/wics.1341.
Multiscale Analysis of Survey Data: Recent Developments and Exciting Prospects, Statistics Views., 2015.
"Multivariate Spatial Hierarchical Bayesian Empirical Likelihood Methods for Small Area Estimation." STAT 4, no. 1 (2015): 108-116. DOI: 10.1002/sta4.81, available at http://dx.doi.org/10.1002/sta4.81.
"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.
"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.
"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.
"Small Area Estimation via Multivariate Fay-Herriot Models With Latent Spatial Dependence." Australian & New Zealand Journal of Statistics 57 (2015): 15-29, available at http://arxiv.org/abs/1310.7211.
"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.
"Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." Bayesian Analysis (2016): 977-1003, available at https://arxiv.org/abs/1408.2757.
"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.
"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.
"Adaptively-Tuned Particle Swarm Optimization with Application to Spatial Design." Stat 6, no. 1 (2017): 145-159. DOI: 10.1002/sta4.142, available at http://onlinelibrary.wiley.com/doi/10.1002/sta4.142/abstract.
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.
"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.
"Visualizing uncertainty in areal data estimates with bivariate choropleth maps, map pixelation, and glyph rotation." Stat 6, no. 1 (2017): 292-302, available at http://onlinelibrary.wiley.com/doi/10.1002/sta4.150/abstract.