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Statistically and Computationally Efficient Estimating Equations for Large Spatial Datasets

Pages 187-208 | Received 01 Aug 2013, Published online: 09 Mar 2016

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Alexander Litvinenko, Ying Sun, Marc G. Genton & David E. Keyes. (2019) Likelihood approximation with hierarchical matrices for large spatial datasets. Computational Statistics & Data Analysis 137, pages 115-132.
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Alexander Litvinenko, David Keyes, Venera Khoromskaia, Boris N. Khoromskij & Hermann G. Matthies. (2019) Tucker Tensor Analysis of Matérn Functions in Spatial Statistics. Computational Methods in Applied Mathematics 19:1, pages 101-122.
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Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton & David E. Keyes. (2018) ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Transactions on Parallel and Distributed Systems 29:12, pages 2771-2784.
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Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton & David E. Keyes. (2018) Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations.
Ying Sun, Xiaohui Chang & Yongtao Guan. (2018) Flexible and efficient estimating equations for variogram estimation. Computational Statistics & Data Analysis 122, pages 45-58.
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Márcia H. Barbian & Renato M. Assunção. (2017) Spatial subsemble estimator for large geostatistical data. Spatial Statistics 22, pages 68-88.
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Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev & David Keyes. 2017. High Performance Computing. High Performance Computing 22 40 .

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