A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles

@article{Mastrantonio2019AHM,
  title={A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles},
  author={Gianluca Mastrantonio and Giovanna Jona Lasinio and Alessio Pollice and Giulia Capotorti and Lorenzo Teodonio and Giulio Genova and Carlo Blasi},
  journal={The Annals of Applied Statistics},
  year={2019}
}
We present a multivariate hierarchical space-time model to describe the joint series of monthly extreme temperatures and amounts of rainfall. Data are available for 360 monitoring stations over 60 years, with missing data affecting almost all series. Model components account for spatio-temporal dependence with annual cycles, dependence on covariates and between responses. The very large amount of data is tackled modeling the spatio-temporal dependence by the nearest neighbor Gaussian process… 

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