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Objective Bayesian Inference in Probit Models with Intrinsic Priors Using Variational Approximations
There is not much literature on objective Bayesian analysis for binary classification problems, especially for intrinsic prior related methods. On the other hand, variational inference methods have been employed to solve classification problems using probit regression and logistic regression with no...
Autores principales: | Li, Ang, Pericchi, Luis, Wang, Kun |
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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/PMC7517004/ https://www.ncbi.nlm.nih.gov/pubmed/33286285 http://dx.doi.org/10.3390/e22050513 |
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