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Scalable Bayesian Variable Selection for Structured High-dimensional Data
Variable selection for structured covariates lying on an underlying known graph is a problem motivated by practical applications, and has been a topic of increasing interest. However, most of the existing methods may not be scalable to high dimensional settings involving tens of thousands of variabl...
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| 出版年: | Biometrics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6222001/ https://ncbi.nlm.nih.gov/pubmed/29738602 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12882 |
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