New classes of cross-covariance functions have been recently proposed, nevertheless the linear coregionalization model (LCM) is still of interest and widely applied. In this paper, a new fitting procedure of the space-time LCM (STLCM) using the generalized product-sum model is proposed. This procedure is based on the well known algorithm of matrix simultaneous diagonalization, applied on the sample matrix variograms computed for multiple spatial-temporal lags.
(2011). A new procedure for fitting a multivariate space-time linear coregionalization model [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/25259
A new procedure for fitting a multivariate space-time linear coregionalization model
2011-01-01
Abstract
New classes of cross-covariance functions have been recently proposed, nevertheless the linear coregionalization model (LCM) is still of interest and widely applied. In this paper, a new fitting procedure of the space-time LCM (STLCM) using the generalized product-sum model is proposed. This procedure is based on the well known algorithm of matrix simultaneous diagonalization, applied on the sample matrix variograms computed for multiple spatial-temporal lags.| File | Dimensione del file | Formato | |
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