A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data

Efficient estimation methods for simultaneous autoregressive (SAR) models with missing data in the response variable have been well explored in the literature. A common practice is introducing measurement error into SAR models to separate the noise component from the spatial process. However, prior...

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Autors principals:	Anjana Wijayawardhana, David Gunawan, Thomas Suesse
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-12-01
Col·lecció:	Mathematics
Matèries:	spatial error model spatial autoregressive model measurement errors marginal likelihood computational complexity
Accés en línia:	https://www.mdpi.com/2227-7390/12/23/3870
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