Funder
King Abdullah University of Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability
Reference40 articles.
1. Alexiadis, M., Dokopoulos, P., Sahsamanoglou, H. et al. (1999) Wind speed and power forecasting based on spatial correlation models. IEEE Transactions on Energy Conversion
14(3), 836–842.
2. Bakka, H., Rue, H., Fuglstad, G. A., Riebler, A., Bolin, D., Illian, J., Krainski, E., Simpson, D. and Lindgren, F. (2018) Spatial modelling with R-INLA: A review. WIREs Computational Statistics,
10: null.
https://doi.org/10.1002/wics.1443
.
3. Bivand, R., Gómez-Rubio, V. and Rue, H. (2015) Spatial data analysis with R-INLA with some extensions. Journal of Statistical Software
63(1), 1–31.
4. Casson, E. and Coles, S. (1999) Spatial regression models for extremes. Extremes
1(4), 449–468.
5. Castro-Camilo, D. and Huser, R. (2019) Local likelihood estimation of complex tail dependence structures, applied to us precipitation extremes. arXiv preprint
arXiv:1710.00875
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