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Efficiency assessment of approximated spatial predictions for large datasets

  • Published:2021-06 Issue: Volume:43 Page:100517
  • ISSN:2211-6753
  • Container-title:Spatial Statistics
  • language:en
  • Short-container-title:Spatial Statistics

Author:

Hong Yiping,Abdulah SamehORCID,Genton Marc G.ORCID,Sun YingORCID

Funder

King Abdullah University of Science and Technology

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference44 articles.

1. Hierarchical computations on manycore architectures (HiCMA);Abdulah,2019

2. ExaGeoStatR: A package for large-scale geostatistics in R;Abdulah,2019

3. Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations;Abdulah,2018

4. ExaGeoStat: A high performance unified software for geostatistics on manycore systems;Abdulah;IEEE Trans. Parallel Distrib. Syst.,2018

5. Geostatistical modeling and prediction using mixed precision tile Cholesky factorization;Abdulah,2019

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