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On Default Priors for Robust Bayesian Estimation with Divergences
This paper presents objective priors for robust Bayesian estimation against outliers based on divergences. The minimum [Formula: see text]-divergence estimator is well-known to work well in estimation against heavy contamination. The robust Bayesian methods by using quasi-posterior distributions bas...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824515/ https://www.ncbi.nlm.nih.gov/pubmed/33375494 http://dx.doi.org/10.3390/e23010029 |