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Spatial linear mixed-models, consisting of a linear covariate effect and a Gaussian process (GP) distributed spatial random effect, are widely used for analyses of geospatial data. We consider the ... Click to show full abstract
Spatial linear mixed-models, consisting of a linear covariate effect and a Gaussian process (GP) distributed spatial random effect, are widely used for analyses of geospatial data. We consider the ...
Keywords:
random forests;
dependent data;
forests spatially;
spatially dependent
Journal Title: Journal of the American Statistical Association
Year Published: 2021
Link to full text (if available)
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Journal Title: Journal of the American Statistical Association
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!