Christopher K. Wikle
Affiliations: | University of Missouri - Columbia, Columbia, MO, United States |
Area:
StatisticsGoogle:
"Christopher Wikle"Parents
Sign in to add mentorTsing-Chang Chen | grad student | 1996 | Iowa State (Meteorology Tree) |
Ralph Milliff | post-doc | National Center for Atmospheric Research (Chemistry Tree) |
Children
Sign in to add trainee(Bill) K. Xu | grad student | 2004 | University of Missouri - Columbia |
Mevin B. Hooten | grad student | 2006 | University of Missouri - Columbia |
Ali Arab | grad student | 2007 | University of Missouri - Columbia |
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Publications
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Berliner LM, Herbei R, Wikle CK, et al. (2023) Excursions in the Bayesian treatment of model error. Plos One. 18: e0286624 |
Wikle CK, Datta A, Hari BV, et al. (2022) An illustration of model agnostic explainability methods applied to environmental data. Environmetrics. 34 |
Laubmeier AN, Cazelles B, Cuddington K, et al. (2020) Ecological Dynamics: Integrating Empirical, Statistical, and Analytical Methods. Trends in Ecology & Evolution |
Hooten M, Wikle C, Schwob M. (2020) Statistical Implementations of Agent-Based Demographic Models. International Statistical Review. 88: 441-461 |
Zammit-Mangion A, Wikle CK. (2020) Deep integro-difference equation models for spatio-temporal forecasting Spatial Statistics. 37: 100408 |
Schafer TLJ, Wikle CK, VonBank JA, et al. (2020) A Bayesian Markov Model with Pólya-Gamma Sampling for Estimating Individual Behavior Transition Probabilities from Accelerometer Classifications Journal of Agricultural Biological and Environmental Statistics. 25: 365-382 |
McDermott PL, Wikle CK. (2019) Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. Entropy (Basel, Switzerland). 21 |
Bradley JR, Wikle CK, Holan SH. (2019) Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process Statistica Sinica |
McDermott P, Wikle C. (2019) Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data Entropy. 21: 184 |
Wikle CK, Ver Hoef JM. (2019) A Conversation with Noel Cressie Statistical Science. 34: 349-359 |