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Discussion on Competition for Spatial Statistics for Large Datasets
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Discussion on Competition for Spatial Statistics for Large Datasets
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Journal Article
Discussion on Competition for Spatial Statistics for Large Datasets
2021
Overview
We discuss the experiences and results of the AppStatUZH team’s participation in the comprehensive and unbiased comparison of different spatial approximations conducted in the Competition for Spatial Statistics for Large Datasets. In each of the different subcompetitions, we estimated parameters of the covariance model based on a likelihood function and predicted missing observations with simple kriging. We approximated the covariance model either with covariance tapering or a compactly supported Wendland covariance function.
Publisher
Springer Science + Business Media,Springer US,Springer,Springer Nature B.V
Subject
