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...
- 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
- Rights
- License
- http://purl.org/coar/access_right/c_abf2