Analysis of the random effects estimator of a hierarchical model with heavy tailed priori distributions

Analysis of the random effects estimator of a hierarchical model with heavy tailed priori distributions

Hierarchical Bayesian models are used in data modeling in different areas in which hierarchical structures are reflected through random effects.Usually the Normal distribution is used to model the random effects. The Inverse-gamma(ε , ε ) distribution is used as prior distribution for scale pa...

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Dettagli Bibliografici
Autori principali:	Rojas Mora, Jessica Maria, Ramírez Guevara, Isabel
Natura:	Online
Lingua:	spa
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2022
Soggetti:	Inferencia bayesiana Modelo jerárquico Parámetro de escala Distribución t-Student Bayesian Inference Hierarchical model Scale parameter t-Student distribution
Accesso online:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13655

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