Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction
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Publication:2078298
DOI10.1214/21-AOAS1460zbMath1498.62299arXiv2011.01263WikidataQ115992045 ScholiaQ115992045MaRDI QIDQ2078298
Stefano Castruccio, Paola Crippa, Jiachen Zhang, Marc G. Genton
Publication date: 28 February 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.01263
Kullback-Leibler divergencebias correctionwind energynonstationary modelspatiotemporal modelnon-Gaussian process
Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30)
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