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A
Simpson, M., C.K. Wikle, and S.H. Holan. "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.
Holan, S.H.. "An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models." In Joint Statistical Meetings 2014. Boston, MA: Joint Statistical Meetings, 2014, available at http://www.amstat.org/meetings/jsm/2014/onlineprogram/AbstractDetails.cfm?abstractid=310841.
Holan, S.H.. An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models, Seminar on Bayesian Inference in Econometrics and Statistics (SBIES)., 2014.
McElroy, T.S., and S.H. Holan. Asymptotic Theory of Cepstral Random Fields. University of Missouri Preprint 1813:34461, 2012, available at http://hdl.handle.net/1813/34461.
B
Yang, W. H., C.K. Wikle, S.H. Holan, K. Sudduth, and D.B. Meyers. "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.
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys., 2014.
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys, Institute of Public Policy and the Truman School of Public Affairs., 2013.
Wu, G., S.H. Holan, C.H. Nilon, and C.K. Wikle. "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.
Holan, S.H.. "Bayesian Dynamic Time-Frequency Estimation." In Twelfth World Meeting of ISBA. Cancun, Mexico: ISBA, 2014.
Bradley, J.R., S.H. Holan, and C.K. Wikle. "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.
Wu, G., and S.H. Holan. "Bayesian Hierarchical Multi-Population Multistate Jolly-Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program." Journal of the American Statistical Association 112, no. 518 (2017): 471-483. DOI: 10.1080/01621459.2016.1211531, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2016.1211531.
Yang, W.H., S.H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." Bayesian Analysis (2016): 977-1003, available at https://arxiv.org/abs/1408.2757.
Holan, S.H.. Bayesian Multiscale Multiple Imputation With Implications to Data Confidentiality., 2012.
Porter, A.T., S.H. Holan, and C.K. Wikle. "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.
Bradley, J.R., C.K. Wikle, and S.H. Holan. "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.
C
Holan, S.H., T.S. McElroy, and G. Wu. The Cepstral Model for Multivariate Time Series: The Vector Exponential Model.. arXiv preprint 1406.0801, 2014, available at http://arxiv.org/abs/1406.0801.
Holan, S.H., T.S. McElroy, and G. Wu. "The Cepstral Model for Multivariate Time Series: The Vector Exponential Model." Statistica Sinica 27 (2017): 23-42. DOI: 10.5705/ss.202014.0024, available at http://www3.stat.sinica.edu.tw/statistica/J27N1/J27N12/J27N12.html.
Wikle, C.K., and S.H. Holan. "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).
McElroy, T.S., and S.H. Holan. "Computation of the Autocovariances for Time Series with Multiple Long-Range Persistencies." Computational Statistics and Data Analysis (2016): 44-56, available at http://www.sciencedirect.com/science/article/pii/S0167947316300202.
Bradley, J.R., S.H. Holan, and C.K. Wikle. 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.
E
Yang, W.H., C.K. Wikle, S.H. Holan, and M.L. Wildhaber. "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.
F
McElroy, T.S., and S.H. Holan. "Fast Estimation of Time Series with Multiple Long-Range Persistencies." In ASA Proceedings of the Joint Statistical Meetings. Alexandria, VA: American Statistical Association, 2014.
Holan, S.H.. "Flexible Spectral Models for Multivariate Time Series." In Joint Statistical Meetings 2012., 2012.
G
Quick, H., S.H. Holan, and C.K. Wikle. "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.
H
Wu, G., S.H. Holan, and C.K. Wikle. "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.

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