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Bayes variable selection in semiparametric linear models
There is a rich literature on Bayesian variable selection for parametric models. Our focus is on generalizing methods and asymptotic theory established for mixtures of g-priors to semiparametric linear regression models having unknown residual densities. Using a Dirichlet process location mixture fo...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4111209/ https://ncbi.nlm.nih.gov/pubmed/25071298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2014.881153 |
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