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Wikle, C.K.. "Hierarchcial models for uncertainty quantification: An overview." In Handbook of Uncertainty Quantification, edited by Ghanem, R., Higdon, D. and Owhadi, H.. Springer, 2015.
Wikle, C.K.. "Agent Based Models: Statistical Challenges and Opportunities." Statistics Views (2014), available at http://www.statisticsviews.com/details/feature/6354691/Agent-Based-Models-Statistical-Challenges-and-Opportunities.html.
Wikle, C.K.. "Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
Wildhaber, M.L., R. Dey, C.K. Wikle, C.J. Anderson, E.H. Moran, and K.J. Franz. "A stochastic bioenergetics model based approach to translating large river flow and temperature in to fish population responses: the pallid sturgeon example." Geological Society 408 (2015). DOI: 10.1144/SP408.10.
Wildhaber, M.L., C.K. Wikle, E.H. Moran, C.J. Anderson, K.J. Franz, and R. Dey. "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).
Wilson, C. R., and D. G. Brown. "Change in Visible Impervious Surface Area in Southeastern Michigan Before and After the “Great Recession:” Spatial Differentiation in Remotely Sensed Land-Cover Dynamics." Population and Environment 36, no. 3 (2015): 331-355. DOI: 10.1007/s11111-014-0219-y, available at http://link.springer.com/article/10.1007%2Fs11111-014-0219-y.
Wilson, C. R.. Using Satellite Imagery to Evaluate and Analyze Socioeconomic Changes Observed with Census Data. Ph.D., 2013.
Wilson, Courtney, and Daniel G. Brown. NCRN Meeting Fall 2014: Change in Visible Impervious Surface Area in Southeastern Michigan Before and After the "Great Recession". NCRN Coordinating Office Preprint 1813:37446, 2014, available at http://hdl.handle.net/1813/37446.
Woodruff, A., V. Pihur, A. Acquisti, S. Consolvo, L. Schmidt, and L. Brandimarte. "Would a Privacy Fundamentalist Sell their DNA for \$1000... if Nothing Bad Happened Thereafter? A Study of the Western Categories, Behavior Intentions, and Consequences." In Proceedings of the Tenth Symposium on Usable Privacy and Security (SOUPS). New York, NY: ACM, 2014, available at https://www.usenix.org/conference/soups2014/proceedings/presentation/woodruff.
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.
Wu, G.. "Binomial Mixture Models for Urban Ecological Monitoring Studies Using American Community Survey Demographic Covariates." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
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.
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.
Wu, G.. "Bayesian Modeling in the Era of Big Data: the Role of High-Throughput and High-Performance Computing." In The Extreme Science and Engineering Discovery Environment Conference. San Diego, CA, 2013.
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Xiaolin, Yang, Stephen E. Fienberg, and Alessandro Rinaldo. "Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications." Journal of Privacy and Confidentiality 4 (2012): 101-125.
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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.
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.
Yang, W. H., Scott H. Holan, and Christopher K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time–Frequency Analysis." Project Euclid (2015): 27. DOI: 10.1214/15-BA978, available at http://projecteuclid.org/euclid.ba/1445263834.
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.
Yang, W. H., S. H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." ArXiv, no. 1408.2757 (2015), available at http://arxiv.org/abs/1408.2757.
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Zhuang, L., and N. Cressie. "Bayesian Hierarchical Statistical SIRS Models." Statistical Methods and Applications 23 (2015): 601-646. DOI: 10.1007/s10260-014-0280-9.

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