Documents
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An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models." Applied Stochastic Models in Business and Industry 28 (2012): 485-499. DOI: 10.1002/asmb.1954, available at http://onlinelibrary.wiley.com/doi/10.1002/asmb.1954/full.
"Change of Support in Spatio-Temporal Dynamical Models." In Joint Statistical Meetings. Montreal, Canada, 2012.
"Efficient Time-Frequency Representations in High-Dimensional Spatial and Spatio-Temporal Models., 2012.
Hierarchical General Quadratic Nonlinear Models for Spatio-Temporal Dynamics." In Red Raider Conference. Lubbock, TX: Texas Tech University, 2012.
"Semiparametric Dynamic Design of Monitoring Networks for Non-Gaussian Spatio-Temporal Data." In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by Jorge Mateu and Werner Muller, 269-284. Chichester, UK: Wiley, 2012, available at http://onlinelibrary.wiley.com/doi/10.1002/9781118441862.ch12/summary.
" Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
"Ecological Prediction With Nonlinear Multivariate Time-Frequency Functional Data Models." Journal of Agricultural, Biological, and Environmental Statistics 18 (2013). DOI: 10.1007/s13253-013-0142-1, available at http://link.springer.com/article/10.1007/s13253-013-0142-1.
"Hierarchical Bayesian Spatio-Temporal Conway-Maxwell Poisson Models with Dynamic Dispersion." Journal of Agricultural, Biological, and Environmental Statistics 18 (2013): 335-356. DOI: 10.1007/s13253-013-0141-2, available at http://link.springer.com/article/10.1007/s13253-013-0141-2.
"Nonlinear Dynamic Spatio-Temporal Statistical Models." In Southern Regional Council on Statistics Summer Research Conference., 2013.
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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., 2015.
"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 Spatial Models." In Encyclopedia of Geographical Information Science. Springer, 2015.
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