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most citedA Linear Mixed Model Formulation for Spatio-Temporal Random Processes with Computational Advances for the Separable and Product-Sum Covariances

7 citations · 19 across the 8 of their papers we have counts for

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stat.ME2020★ 7 cited

A Linear Mixed Model Formulation for Spatio-Temporal Random Processes with Computational Advances for the Separable and Product-Sum Covariances

Michael Dumelle, Jay M. Ver Hoef, Claudio Fuentes +1

We describe spatio-temporal random processes using linear mixed models. We show how many commonly used models can be viewed as special cases of this general framework and pay close…