Some Developments in Bayesian Hierarchical Linear Regression Modeling

Considering the flexibility and applicability of Bayesian modeling, in this work we revise the main characteristics of two hierarchical models in a regression setting. We study the full probabilistic structure of the models along with the full conditional distribution for each model parameter. Under...

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Bibliografiset tiedot
Julkaisussa:Revista Colombiana de Estadística
Päätekijät: Juan Sosa, Jeimy-Paola Aristizabal
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Universidad Nacional de Colombia 2022
Aiheet:
Física, Astronomía y Matemáticas
Clustering
Gibbs Sampling
Linear regression
Bayesian inference
Hierarchical model
Linkit:https://www.redalyc.org/articulo.oa?id=89981229005
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