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Discussion on competition for spatial statistics for large datasets


Flury, Roman; Furrer, Reinhard (2021). Discussion on competition for spatial statistics for large datasets. Journal of agricultural, biological, and environmental statistics, (26):599-603.

Abstract

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 sub-competitions, 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.

Abstract

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 sub-competitions, 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.

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Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Physical Sciences > General Environmental Science
Life Sciences > Agricultural and Biological Sciences (miscellaneous)
Life Sciences > General Agricultural and Biological Sciences
Social Sciences & Humanities > Statistics, Probability and Uncertainty
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Agricultural and Biological Sciences (miscellaneous), Statistics, Probability and Uncertainty, Statistics and Probability, Applied Mathematics, General Agricultural and Biological Sciences, General Environmental Science
Language:English
Date:24 July 2021
Deposited On:06 Aug 2021 09:50
Last Modified:25 Feb 2024 02:41
Publisher:Springer
ISSN:1085-7117
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s13253-021-00461-3
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)