A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression

Large-scale population datasets are rarely generated via simple random sampling; instead, they reflect complex designs involving stratification, clustering, and unequal inclusion probabilities. While survey weights are provided to recover population-representative estimates, standard Bayesian Kernel...

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Autors principals:	Doreen Jehu-Appiah, Emmanuel Obeng-Gyasi
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-04-01
Col·lecció:	Stats
Matèries:	Bayesian kernel machine regression complex survey design environmental exposure mixtures informative sampling population-representative inference resampling methods
Accés en línia:	https://www.mdpi.com/2571-905X/9/3/46
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