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Integrative Variable Selection via Bayesian Model Uncertainty
We are interested in developing integrative approaches for variable selection problems that incorporate external knowledge on a set of predictors of interest. In particular, we have developed iBMU, an integrative Bayesian model uncertainty method that formally incorporates multiple sources of data v...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4085544/ https://ncbi.nlm.nih.gov/pubmed/23824835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5888 |
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