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Robust Bayesian Regression with Synthetic Posterior Distributions

Although linear regression models are fundamental tools in statistical science, the estimation results can be sensitive to outliers. While several robust methods have been proposed in frequentist frameworks, statistical inference is not necessarily straightforward. We here propose a Bayesian approac...

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Detalles Bibliográficos
Autores principales: Hashimoto, Shintaro, Sugasawa, Shonosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517196/
https://www.ncbi.nlm.nih.gov/pubmed/33286432
http://dx.doi.org/10.3390/e22060661

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