Pages that link to "Item:Q862444"
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The following pages link to Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444):
Displaying 6 items.
- A comparative study of Gaussian geostatistical models and Gaussian Markov random field models (Q943606) (← links)
- Fast kriging of large data sets with Gaussian Markov random fields (Q1023566) (← links)
- Bayesian spatial prediction of the site index in the study of the Missouri Ozark forest ecosystem project (Q1023714) (← links)
- A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861) (← links)
- A Bayesian Statistical Model for End Member Analysis of Sediment Geochemistry, Incorporating Spatial Dependences (Q3634602) (← links)
- Modeling material stress using integrated Gaussian Markov random fields (Q5037092) (← links)
