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...

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Detalles Bibliográficos
Autores principales: Liang, Xitong, Livingstone, Samuel, Griffin, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528396/
https://www.ncbi.nlm.nih.gov/pubmed/37761609
http://dx.doi.org/10.3390/e25091310

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