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- W2095367063 abstract "Abstract Spatial–temporal linear models and the corresponding likelihood-based statistical inference are important tools for the analysis of spatial–temporal lattice data. In this paper, we study the asymptotic properties of maximum likelihood estimates under a general asymptotic framework for spatial–temporal linear models. We propose mild regularity conditions on the spatial–temporal weight matrices and derive the asymptotic properties (consistency and asymptotic normality) of maximum likelihood estimates. A simulation study is conducted to examine the finite-sample properties of the maximum likelihood estimates." @default.
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- W2095367063 date "2012-12-01" @default.
- W2095367063 modified "2023-09-23" @default.
- W2095367063 title "A note on spatial–temporal lattice modeling and maximum likelihood estimation" @default.
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- W2095367063 doi "https://doi.org/10.1016/j.spl.2012.07.019" @default.
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