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An Efficient Stochastic Search for Bayesian Variable Selection with High-Dimensional Correlated Predictors
We present a Bayesian variable selection method for the setting in which the number of independent variables or predictors in a particular dataset is much larger than the available sample size. While most existing methods allow some degree of correlations among predictors but do not consider these c...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3113479/ https://ncbi.nlm.nih.gov/pubmed/21686315 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2011.04.019 |
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