Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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A latent variables based-model for spatiotemporal environmental analysis
Sandra De Iaco, Monica Palma, Donato Posa

Last modified: 2013-06-14

Abstract


Environmental data present nearly always a multivariate spatiotemporal structure. Simultaneous diagonalization of the sample matrix variogram is often convenient for isolating space and time correlation of complex latent components. This is also useful for modeling and prediction purposes.


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