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Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models
Developing an efficient computational scheme for high-dimensional Bayesian variable selection in generalised linear models and survival models has always been a challenging problem due to the absence of closed-form solutions to the marginal likelihood. The Reversible Jump Markov Chain Monte Carlo (R...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528396/ https://www.ncbi.nlm.nih.gov/pubmed/37761609 http://dx.doi.org/10.3390/e25091310 |