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Stochastic approximation cut algorithm for inference in modularized Bayesian models
Bayesian modelling enables us to accommodate complex forms of data and make a comprehensive inference, but the effect of partial misspecification of the model is a concern. One approach in this setting is to modularize the model and prevent feedback from suspect modules, using a cut model. After obs...
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| Gepubliceerd in: | Stat Comput |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7612314/ https://ncbi.nlm.nih.gov/pubmed/35125678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-021-10070-2 |
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