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Variable selection in semi-parametric models
We propose Bayesian variable selection methods in semi-parametric models in the framework of partially linear Gaussian and problit regressions. Reproducing kernels are utilized to evaluate possibly non-linear joint effect of a set of variables. Indicator variables are introduced into the reproducing...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3938559/ https://ncbi.nlm.nih.gov/pubmed/23990355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280213499679 |
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