ロード中...
Joint Bayesian variable and graph selection for regression models with network-structured predictors
In this work, we develop a Bayesian approach to perform selection of predictors that are linked within a network. We achieve this by combining a sparse regression model relating the predictors to a response variable with a graphical model describing conditional dependencies among the predictors. The...
保存先:
| 出版年: | Stat Med |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4775388/ https://ncbi.nlm.nih.gov/pubmed/26514925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6792 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|