Modeling Hydrologic Change: Statistical Methods. - Christopher K. Wikle (Technometrics, 2003)

Atmospheric Modeling, Data Assimilation, and Predictability. - Christopher K. Wikle (Technometrics, 2005)

Combining Information Across Spatial Scales. - Christopher K. Wikle; L. Mark Berliner (Technometrics, 2005)

Hierarchical Spatial Models. - Ali Arab 002; Mevin B. Hooten; Christopher K. Wikle (Encyclopedia of GIS, 2008)

Hierarchical Spatial Models. - Ali Arab 002; Mevin B. Hooten; Christopher K. Wikle (Encyclopedia of GIS, 2017)

Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting. - Patrick L. McDermott; Christopher K. Wikle (CoRR, 2018)

Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data. - Christopher K. Wikle (CoRR, 2019)

Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting. - Andrew Zammit-Mangion; Christopher K. Wikle (CoRR, 2019)

Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. - Patrick L. McDermott; Christopher K. Wikle (Entropy, 2019)

Bayesian Inverse Reinforcement Learning for Collective Animal Movement. - Toryn L. J. Schafer; Christopher K. Wikle; Mevin B. Hooten (CoRR, 2020)

Spatio-temporal change of support modeling with R. - Andrew M. Raim; Scott H. Holan; Jonathan R. Bradley; Christopher K. Wikle (Comput. Stat., 2021)

Vizumap: an R package for visualising uncertainty in spatial data. - Lydia R. Lucchesi; Petra M. Kuhnert; Christopher K. Wikle (J. Open Source Softw., 2021)

Statistical Deep Learning for Spatial and Spatio-Temporal Data. - Christopher K. Wikle; Andrew Zammit-Mangion (CoRR, 2022)

Flexible and efficient spatial extremes emulation via variational autoencoders. - Likun Zhang; Xiaoyu Ma; Christopher K. Wikle; Raphaël Huser (CoRR, 2023)

Correcting for informative sampling in spatial covariance estimation and kriging predictions. - Erin M. Schliep; Christopher K. Wikle; Ranadeep Daw (J. Geogr. Syst., 2023)

Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet. - Myungsoo Yoo; Giri Gopalan; Matthew J. Hoffman 004; Sophie Coulson; Holly Kyeore Han; Christopher K. Wikle; Trevor Hillebrand (CoRR, 2024)

Echo State Networks for Spatio-Temporal Area-Level Data. - Zhenhua Wang; Scott H. Holan; Christopher K. Wikle (CoRR, 2024)