Rejoinder to the discussion on: ``A high-resolution bilevel skew-\(t\) stochastic generator for assessing Saudi Arabia's wind energy resources
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Publication:6626187
DOI10.1002/env.2659zbMATH Open1545.62951MaRDI QIDQ6626187
Marc G. Genton, Felipe Tagle, Stefano Castruccio, Georgiy Stenchikov, Andrew C. M. Yip, Suleiman Mostamandi
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
- Reducing storage of global wind ensembles with stochastic generators
- Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia
- Compression of climate simulations with a nonstationary global spatiotemporal SPDE model
- A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data
- Some Computational Aspects of Maximum Likelihood Estimation of the Skew-t Distribution
- A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes
- A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐t Distribution
- Probabilistic Forecasts, Calibration and Sharpness
- Non-Gaussian Bayesian Geostatistical Modeling
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