Documents
] "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.
"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.
"Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors." Statistica Sinica 25 (2015). DOI: 10.5705/ss.2013.245w , available at http://www3.stat.sinica.edu.tw/preprint/SS-13-245w_Preprint.pdf.
"Bayesian Binomial Mixture Models for Estimating Abundance in Ecological Monitoring Studies." Annals of Applied Statistics 9 (2015): 1-26. DOI: 10.1214/14-AOAS801, available at http://projecteuclid.org/euclid.aoas/1430226082.
"Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." ArXiv, no. 1408.2757 (2015), available at http://arxiv.org/abs/1408.2757.
"Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models." Journal of Statistical Planning and Inference 165 (2015): 78-90. DOI: 10.1016/j.jspi.2015.04.002.
"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.
"Bayesian Spatial Change of Support for Count–Valued Survey Data." ArXiv, no. 1405.7227 (2015), available at http://arxiv.org/abs/1405.7227.
"Comment on ``Semiparametric Bayesian Density Estimation with Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition" by Finncane, M. M., Paciorek, C. J., Stevens, G. A., and Ezzati, M." Journal of the American Statistical Association (2015).
"Hierarchcial models for uncertainty quantification: An overview." In Handbook of Uncertainty Quantification, edited by Ghanem, R., Higdon, D. and Owhadi, H.. Springer, 2015.
"Hierarchical Agent-Based Spatio-Temporal Dynamic Models for Discrete Valued Data." In Handbook of Discrete-Valued Time Series, edited by R. Davis, S. Holan, R. Lund and N. Ravishanker. Boca Raton, FL.: Chapman and Hall/CRC Press, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
"Hierarchical Dynamic Generalized Linear Mixed Models for Discrete-Valued Spatio-Temporal Data." In Handbook of Discrete-Valued Time Series, edited by R. Davis, S. Holan, R. Lund and N Ravishanker. Boca Raton, FL: Chapman and Hall/CRC Press, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
"Hierarchical Dynamic Generalized Linear Mixed Models for Discrete--Valued Spatio-Temporal Data." In Handbook of Discrete--Valued Time Series., 2015.
"Hierarchical Spatial Models." In Encyclopedia of Geographical Information Science. Springer, 2015.
"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." ArXiv, no. 1503.00982 (2015), available at http://arxiv.org/abs/1503.00982.