On predictive inference for intractable models via approximate Bayesian computation

Approximate Bayesian computation (ABC) is commonly used for parameter estimation and model comparison for intractable simulator-based statistical models whose likelihood function cannot be evaluated. In this paper we instead investigate the feasibility of ABC as a generic approximate method for pred...

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Detalles Bibliográficos
Autores principales: Järvenpää, Marko, Corander, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
OriginalPaper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911513/
https://www.ncbi.nlm.nih.gov/pubmed/36785730
http://dx.doi.org/10.1007/s11222-022-10163-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911513/
https://www.ncbi.nlm.nih.gov/pubmed/36785730
http://dx.doi.org/10.1007/s11222-022-10163-6

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