- Hierarchical Models in Environmental Science Christopher K. Wikle
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- Mapping Pre-European Settlement Vegetation Using a Hierarchical Bayesian Model Hong S. He1,*
- Spatio-Temporal Hierarchical Bayesian Modeling: Tropical Ocean Surface Winds
- Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
- Spatial Modelling of Count Data: A Case Study in
- Spacetime Kalman filter Noel Cressie & Christopher K. Wikle
- 4.26.2.6 To appear: Encyclopedia of Life Support Systems, EOLSS Publishers SPATIO-TEMPORAL METHODS IN
- Spatial Statistical Modeling in Biology C.K. Wikle, Department of Statistics, University of Missouri-Columbia, USA
- A Kernel-Based Spectral Model for Non-Gaussian Spatio-Temporal Processes
- Appendix A: MCMC (Gibbs Sampler) Consider the joint distribution of several variables, say w1, . . . , wk; namely, [w1, . . . , wk]. In
- Climatological Analysis of Tornado Report Counts Using a Hierarchical Bayesian
- A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities
- Hierarchical Bayesian Spatio-Temporal Models for Population Spread
- A Kernel-Based Spectral Approach for Spatiotemporal Dynamic Models
- Population Influences on Tornado Reports in the United States
- Estimation of Parameterized Spatio-Temporal Dynamic Models Ke Xu and Christopher K. Wikle
