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 paramete...

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Autores:
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/15335
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13655
https://repositorio.uptc.edu.co/handle/001/15335
Palabra clave:
Inferencia bayesiana
Modelo jerárquico
Parámetro de escala
Distribución t-Student
Bayesian Inference
Hierarchical model
Scale parameter
t-Student distribution
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License
http://purl.org/coar/access_right/c_abf2