Accounting for roughness of circular processes: Using Gaussian random processes to model the anisotropic spread of airborne plant disease
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DOI: 10.1016/j.tpb.2007.09.005
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References listed on IDEAS
- 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.
- Hao Zhang, 2002. "On Estimation and Prediction for Spatial Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 58(1), pages 129-136, March.
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- Arafat, Ahmed & Porcu, Emilio & Bevilacqua, Moreno & Mateu, Jorge, 2018. "Equivalence and orthogonality of Gaussian measures on spheres," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 306-318.
- Emilio Porcu & Moreno Bevilacqua & Marc G. Genton, 2016. "Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 888-898, April.
- Wälder, Konrad & Näther, Wolfgang & Wagner, Sven, 2009. "Improving inverse model fitting in trees—Anisotropy, multiplicative effects, and Bayes estimation," Ecological Modelling, Elsevier, vol. 220(8), pages 1044-1053.
- Garnett P. McMillan & Timothy E. Hanson & Gabrielle Saunders & Frederick J. Gallun, 2013. "A two-component circular regression model for repeated measures auditory localization data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 515-534, August.
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Keywords
Anisotropic dispersal; Circular function; Circular variable; Correlation function; Hierarchical model; Rough process;All these keywords.
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