Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
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DOI: 10.1002/env.2649
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- Zhenzhong Zeng & Alan D. Ziegler & Timothy Searchinger & Long Yang & Anping Chen & Kunlu Ju & Shilong Piao & Laurent Z. X. Li & Philippe Ciais & Deliang Chen & Junguo Liu & Cesar Azorin-Molina & Adria, 2019. "A reversal in global terrestrial stilling and its implications for wind energy production," Nature Climate Change, Nature, vol. 9(12), pages 979-985, December.
- Mahbubul Majumder & Heike Hofmann & Dianne Cook, 2013. "Validation of Visual Statistical Inference, Applied to Linear Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 942-956, September.
- Felipe Tagle & Marc G. Genton & Andrew Yip & Suleiman Mostamandi & Georgiy Stenchikov & Stefano Castruccio, 2020. "A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources," Environmetrics, John Wiley & Sons, Ltd., vol. 31(7), November.
- Andrew Zammit‐Mangion & Jonathan Rougier & Nana Schön & Finn Lindgren & Jonathan Bamber, 2015. "Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise," Environmetrics, John Wiley & Sons, Ltd., vol. 26(3), pages 159-177, May.
- Botond Cseke & Andrew Zammit-Mangion & Tom Heskes & Guido Sanguinetti, 2016. "Sparse Approximate Inference for Spatio-Temporal Point Process Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1746-1763, October.
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