Publication: Spatial model fitting for large datasets with applications to climate and microarray problems
Spatial model fitting for large datasets with applications to climate and microarray problems
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Furrer, R., & Sain, S. R. (2009). Spatial model fitting for large datasets with applications to climate and microarray problems. Statistics and Computing, 19(2), 113–128. https://doi.org/10.1007/s11222-008-9075-x
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Many problems in the environmental and biological sciences involve the analysis of large quantities of data. Further, the data in these problems are often subject to various types of structure and, in particular, spatial dependence. Traditional model fitting often fails due to the size of the datasets since it is difficult to not only specify but also to compute with the full covariance matrix describing the spatial dependence. We propose a very general type of mixed model that has a random spatial component. Recognizing that spatial
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- Sain, S R
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Furrer, R., & Sain, S. R. (2009). Spatial model fitting for large datasets with applications to climate and microarray problems. Statistics and Computing, 19(2), 113–128. https://doi.org/10.1007/s11222-008-9075-x
