Estimating atmospheric motion winds from satellite image data using space‐time drift models
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DOI: 10.1002/env.2818
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References listed on IDEAS
- Gregory P. Bopp & Benjamin A. Shaby, 2017. "An exponential–gamma mixture model for extreme Santa Ana winds," Environmetrics, John Wiley & Sons, Ltd., vol. 28(8), December.
- Felipe Tagle & Stefano Castruccio & Paola Crippa & Marc G. Genton, 2019. "A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐t Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(3), pages 312-326, May.
- Michael L. Stein, 2005. "Statistical methods for regular monitoring data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 667-687, November.
- Wenceslao González‐Manteiga & Rosa M. Crujeiras & Danny Modlin & Montserrat Fuentes & Brian Reich, 2012. "Circular conditional autoregressive modeling of vector fields," Environmetrics, John Wiley & Sons, Ltd., vol. 23(1), pages 46-53, February.
- Anderes, Ethan B. & Stein, Michael L., 2011. "Local likelihood estimation for nonstationary random fields," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 506-520, March.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Ashton Wiens & Douglas Nychka & William Kleiber, 2020. "Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
- Daniela Castro-Camilo & Raphaël Huser, 2020. "Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1037-1054, July.
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