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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Principais autores:	Anjana Wijayawardhana, David Gunawan, Thomas Suesse
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Mathematics
Assuntos:	spatial error model spatial autoregressive model measurement errors marginal likelihood computational complexity
Acesso em linha:	https://www.mdpi.com/2227-7390/12/23/3870
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