Optimal Bayesian design for model discrimination via classification

Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of simulated data sets. This issue is compounded further when the likelihood functions for the rival models are computatio...

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Detalles Bibliográficos
Autores principales: Hainy, Markus, Price, David J., Restif, Olivier, Drovandi, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924111/
https://www.ncbi.nlm.nih.gov/pubmed/35310544
http://dx.doi.org/10.1007/s11222-022-10078-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924111/
https://www.ncbi.nlm.nih.gov/pubmed/35310544
http://dx.doi.org/10.1007/s11222-022-10078-2

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