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Lack of confidence in approximate Bayesian computation model choice
Approximate Bayesian computation (ABC) have become an essential tool for the analysis of complex stochastic models. Grelaud et al. [(2009) Bayesian Anal 3:427–442] advocated the use of ABC for model choice in the specific case of Gibbs random fields, relying on an intermodel sufficiency property to...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3174657/ https://ncbi.nlm.nih.gov/pubmed/21876135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1102900108 |
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