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Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
MOTIVATION: Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often either sacrifice uncertainty quantification by computing maximum a posteriori estimates, or quantify the unce...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364383/ https://www.ncbi.nlm.nih.gov/pubmed/35751586 http://dx.doi.org/10.1093/bioinformatics/btac416 |