Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks

Published:2024-09-12 Issue: Volume: Page:1-22
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Nag Pratik¹^ORCID,Hong Yiping²,Abdulah Sameh¹,Qadir Ghulam A.³,Genton Marc G.⁴,Sun Ying¹^ORCID

Affiliation:

1. CEMSE Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. Beijing Institute of Technology, Beijing, China

3. Heidelberg Institute for Theoretical Studies, Heidelberg, Baden-Württemberg, Germany

4. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2402277

Reference47 articles.

1. Abdulah Sameh Li Yuxiao Cao Jian Ltaief Hatem Keyes David E. Genton Marc G. and Sun Ying (2023) “Large-scale environmental data science with ExaGeoStatR ” Environmetrics 34 1 e2770.

2. Abdulah Sameh Ltaief Hatem Sun Ying Genton Marc G and Keyes David E (2018) “ExaGeoStat: A high performance unified software for geostatistics on manycore systems ” IEEE Transactions on Parallel and Distributed Systems 29 12 2771–2784.

3. Ajmal Hina Rehman Saad Farooq Umar Ain Qurrat U Riaz Farhan and Hassan Ali (2018) “Convolutional neural network based image segmentation: a review ” Pattern Recognition and Tracking XXIX 10649 191–203.

4. Anderes Ethan B and Stein Michael L (2008) “Estimating deformations of isotropic Gaussian random fields on the plane ” The Annals of Statistics 36 2 719–741.

5. — (2011) “Local likelihood estimation for nonstationary random fields ” Journal of Multivariate Analysis 102 3 506–520.

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